Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper). Zbl 1331.62139
Gelman, Andrew |
|
2006
|
Deviance information criteria for missing data models. Zbl 1331.62329
Celeux, G.; Forbes, F.; Robert, C. P.; Titterington, D. M. |
|
2006
|
Inference with normal-gamma prior distributions in regression problems. Zbl 1330.62128
Griffin, Jim E.; Brown, Philip J. |
|
2010
|
Penalized regression, standard errors, and Bayesian Lassos. Zbl 1330.62289
Kyung, Minjung; Gill, Jeff; Ghosh, Malay; Casella, George |
|
2010
|
The case for objective Bayesian analysis. Zbl 1331.62042
Berger, James |
|
2006
|
A review of Bayesian variable selection methods: what, how and which. Zbl 1330.62291
O’Hara, R. B.; Sillanpää, M. J. |
|
2009
|
Variational inference for Dirichlet process mixtures. Zbl 1331.62259
Blei, David M.; Jordan, Michael I. |
|
2006
|
Bayesian auxiliary variable models for binary and multinomial regression. Zbl 1331.62142
Holmes, Chris C.; Held, Leonhard |
|
2006
|
On the half-Cauchy prior for a global scale parameter. Zbl 1330.62148
Polson, Nicholas G.; Scott, James G. |
|
2012
|
Nested sampling for general Bayesian computation. Zbl 1332.62374
Skilling, John |
|
2006
|
The Bayesian elastic net. Zbl 1330.65026
Li, Qing; Lin, Nan |
|
2010
|
Bayesian graphical Lasso models and efficient posterior computation. Zbl 1330.62041
Wang, Hao |
|
2012
|
Nonparametric Bayesian models through probit stick-breaking processes. Zbl 1330.62120
Dunson, David B.; Rodríguez, Abel |
|
2011
|
Bayesian regularized quantile regression. Zbl 1330.62143
Li, Qing; Xi, Ruibin; Lin, Nan |
|
2010
|
Inconsistency of Bayesian inference for misspecified linear models, and a proposal for repairing it. Zbl 1384.62088
Grünwald, Peter; van Ommen, Thijs |
|
2017
|
Checking for prior-data conflict. Zbl 1331.62030
Evans, Michael; Moshonov, Hadas |
|
2006
|
Bayesian cluster analysis: point estimation and credible balls (with discussion). Zbl 1407.62241
Wade, Sara; Ghahramani, Zoubin |
|
2018
|
Bayesian regression tree models for causal inference: regularization, confounding, and heterogeneous effects (with discussion). Zbl 1475.62102
Hahn, P. Richard; Murray, Jared S.; Carvalho, Carlos M. |
|
2020
|
Bayesian solution uncertainty quantification for differential equations. Zbl 1357.62108
Chkrebtii, Oksana A.; Campbell, David A.; Calderhead, Ben; Girolami, Mark A. |
|
2016
|
Separable covariance arrays via the Tucker product, with applications to multivariate relational data. Zbl 1330.62132
Hoff, Peter D. |
|
2011
|
The horseshoe+ estimator of ultra-sparse signals. Zbl 1384.62079
Bhadra, Anindya; Datta, Jyotishka; Polson, Nicholas G.; Willard, Brandon |
|
2017
|
Simple marginally noninformative prior distributions for covariance matrices. Zbl 1329.62135
Huang, Alan; Wand, M. P. |
|
2013
|
Posterior consistency of Bayesian quantile regression based on the misspecified asymmetric Laplace density. Zbl 1329.62308
Sriram, Karthik; Ramamoorthi, R. V.; Ghosh, Pulak |
|
2013
|
Conjugate analysis of the Conway-Maxwell-Poisson distribution. Zbl 1331.62086
Kadane, Joseph B.; Shmueli, Galit; Minka, Thomas P.; Borle, Sharad; Boatwright, Peter |
|
2006
|
Mean field variational Bayes for elaborate distributions. Zbl 1330.62158
Wand, Matthew P.; Ormerod, John T.; Padoan, Simone A.; Fuhrwirth, Rudolf |
|
2011
|
Improved criteria for clustering based on the posterior similarity matrix. Zbl 1330.62249
Fritsch, Arno; Ickstadt, Katja |
|
2009
|
Bayesian structure learning in sparse Gaussian graphical models. Zbl 1335.62056
Mohammadi, A.; Wit, E. C. |
|
2015
|
Bayesian variable selection and estimation for group Lasso. Zbl 1334.62132
Xu, Xiaofan; Ghosh, Malay |
|
2015
|
Uncertainty quantification for the horseshoe (with discussion). Zbl 1384.62155
van der Pas, Stéphanie; Szabó, Botond; van der Vaart, Aad |
|
2017
|
A general purpose sampling algorithm for continuous distributions (the t-walk). Zbl 1330.62007
Christen, J. Andrés; Fox, Colin |
|
2010
|
Rank-normalization, folding, and localization: an improved \(\widehat{R}\) for assessing convergence of MCMC (with Discussion). Zbl 07637221
Vehtari, Aki; Gelman, Andrew; Simpson, Daniel; Carpenter, Bob; Bürkner, Paul-Christian |
|
2021
|
Scalable variational inference for Bayesian variable selection in regression, and its accuracy in genetic association studies. Zbl 1330.62089
Carbonetto, Peter; Stephens, Matthew |
|
2012
|
On the support of MacEachern’s dependent Dirichlet processes and extensions. Zbl 1330.60067
Barrientos, Andrés F.; Jara, Alejandro; Quintana, Fernando A. |
|
2012
|
Scaling it up: stochastic search structure learning in graphical models. Zbl 1335.62068
Wang, Hao |
|
2015
|
On Bayesian A- and D-optimal experimental designs in infinite dimensions. Zbl 1359.62315
Alexanderian, Alen; Gloor, Philip J.; Ghattas, Omar |
|
2016
|
Modularization in Bayesian analysis, with emphasis on analysis of computer models. Zbl 1330.65033
Liu, F.; Bayarri, M. J.; Berger, J. O. |
|
2009
|
A comparison of Bayesian and likelihood-based methods for fitting multilevel models. Zbl 1331.62125
Browne, William J.; Draper, David |
|
2006
|
Overall objective priors. Zbl 1335.62039
Berger, James O.; Bernardo, Jose M.; Sun, Dongchu |
|
2015
|
A skew item response model. Zbl 1331.62448
Bazán, Jorge L.; Branco, Márcia D.; Bolfarine, Heleno |
|
2006
|
Prior distributions for objective Bayesian analysis. Zbl 1407.62073
Consonni, Guido; Fouskakis, Dimitris; Liseo, Brunero; Ntzoufras, Ioannis |
|
2018
|
Galaxy formation: a Bayesian uncertainty analysis. Zbl 1330.85005
Vernon, Ian; Goldstein, Michael; Bower, Richard G. |
|
2010
|
Spatial dynamic factor analysis. Zbl 1330.62356
Lopes, Hedibert Freitas; Salazar, Esther; Gamerman, Dani |
|
2008
|
Two-sample Bayesian nonparametric hypothesis testing. Zbl 1334.62082
Holmes, Chris C.; Caron, François; Griffin, Jim E.; Stephens, David A. |
|
2015
|
A new robust regression model for proportions. Zbl 1330.62272
Bayes, Cristian L.; Bazán, Jorge L.; García, Catalina |
|
2012
|
Asymptotic properties of Bayes risk for the horseshoe prior. Zbl 1329.62122
Datta, Jyotishka; Ghosh, Jayanta K. |
|
2013
|
Using stacking to average Bayesian predictive distributions (with discussion). Zbl 1407.62090
Yao, Yuling; Vehtari, Aki; Simpson, Daniel; Gelman, Andrew |
|
2018
|
ABC likelihood-free methods for model choice in Gibbs random fields. Zbl 1330.62126
Grelaud, Aude; Robert, Christian P.; Marin, Jean-Michel; Rodolphe, François; Taly, Jean-François |
|
2009
|
Hierarchical Bayesian analysis of the seemingly unrelated regression and simultaneous equations models using a combination of direct Monte Carlo and importance sampling techniques. Zbl 1330.62108
Ando, Tomohiro; Zellner, Arnold |
|
2010
|
Bayesian dynamic density estimation. Zbl 1330.62180
Rodriguez, Abel; ter Horst, Enrique |
|
2008
|
Dynamic matrix-variate graphical models. Zbl 1331.62040
Carvalho, Carlos M.; West, Mike |
|
2007
|
Simultaneous linear quantile regression: a semiparametric Bayesian approach. Zbl 1330.62193
Kadane, Joseph B.; Tokdar, Surya T. |
|
2012
|
Hyper-\(g\) priors for generalized linear models. Zbl 1330.62058
Sabanés Bové, Daniel; Held, Leonhard |
|
2011
|
Inference in two-piece location-scale models with Jeffreys priors. Zbl 1327.62157
Rubio, Francisco J.; Steel, Mark F. J. |
|
2014
|
Bayesian functional ANOVA modeling using Gaussian process prior distributions. Zbl 1330.62341
Kaufman, Cari G.; Sain, Stephan R. |
|
2010
|
Evolutionary stochastic search for Bayesian model exploration. Zbl 1330.90042
Bottolo, Leonard; Richardson, Sylvia |
|
2010
|
Splitting and merging components of a nonconjugate Dirichlet process mixture model. Zbl 1331.62145
Jain, Sonia; Neal, Radford M. |
|
2007
|
Convergence properties of a general algorithm for calculating variational Bayesian estimates for a normal mixture model. Zbl 1331.62168
Wang, Bo; Titterington, D. M. |
|
2006
|
Bayesian nonparametric inference – why and how. Zbl 1329.62171
Müller, Peter; Mitra, Riten |
|
2013
|
Bayesian analysis for emerging infectious diseases. Zbl 1330.62395
Jewell, Chris P.; Kypraios, Theodore; Neal, Peter; Roberts, Gareth O. |
|
2009
|
Spatial quantile multiple regression using the asymmetric Laplace process. Zbl 1330.62197
Lum, Kristian; Gelfand, Alan E. |
|
2012
|
Model based clustering for three-way data structures. Zbl 1330.62262
Viroli, Cinzia |
|
2011
|
Can a significance test be genuinely Bayesian? Zbl 1330.62049
Pereira, Carlos A. de B.; Stern, Julio Michael; Wechsler, Sergio |
|
2008
|
Fixed-form variational posterior approximation through stochastic linear regression. Zbl 1329.62142
Salimans, Tim; Knowles, David A. |
|
2013
|
Likelihood-free estimation of model evidence. Zbl 1330.62118
Didelot, Xavier; Everitt, Richard G.; Johansen, Adam M.; Lawson, Daniel J. |
|
2011
|
Bayesian inference for shape mixtures of skewed distributions, with application to regression analysis. Zbl 1330.62242
Arellano-Valle, Reinaldo B.; Castro, Luis M.; Genton, Marc G.; Gómez, Héctor W. |
|
2008
|
A dynamic modelling strategy for Bayesian computer model emulation. Zbl 1330.65034
Liu, Fei; West, Mike |
|
2009
|
How many clusters? Zbl 1330.62033
McCullagh, Peter; Yang, Jie |
|
2008
|
Sensitivity analysis in Bayesian generalized linear mixed models for binary data. Zbl 1330.62150
Roos, Małgorzata; Held, Leonhard |
|
2011
|
Bayesian robustness modeling using regularly varying distributions. Zbl 1331.62175
Andrade, J. A. A.; O’Hagan, A. |
|
2006
|
Subjective Bayesian analysis: principles and practice. Zbl 1331.62047
Goldstein, Michael |
|
2006
|
Sequential Bayesian model selection of regular vine copulas. Zbl 1335.62048
Gruber, Lutz; Czado, Claudia |
|
2015
|
Bayesian model assessment using pivotal quantities. Zbl 1331.62147
Johnson, Valen E. |
|
2007
|
Data augmentation for support vector machines. Zbl 1330.62258
Polson, Nicholas G.; Scott, Steven L. |
|
2011
|
Recent advances on Bayesian inference for \(P(X < Y)\). Zbl 1330.62157
Ventura, Laura; Racugno, Walter |
|
2011
|
Latent nested nonparametric priors (with discussion). Zbl 1436.62108
Camerlenghi, Federico; Dunson, David B.; Lijoi, Antonio; Prünster, Igor; Rodríguez, Abel |
|
2019
|
Bayesian inference and testing of group differences in brain networks. Zbl 06873717
Durante, Daniele; Dunson, David B. |
|
2018
|
Hierarchical shrinkage priors for regression models. Zbl 1384.62225
Griffin, Jim; Brown, Phil |
|
2017
|
Adapting the ABC distance function. Zbl 1384.62098
Prangle, Dennis |
|
2017
|
Beta processes, stick-breaking and power laws. Zbl 1330.62218
Broderick, Tamara; Jordan, Michael I.; Pitman, Jim |
|
2012
|
Bayesian nonparametric modelling of the return distribution with stochastic volatility. Zbl 1330.62116
Delatola, Eleni-Ioanna; Griffin, Jim E. |
|
2011
|
Spatial product partition models. Zbl 1359.62401
Page, Garritt L.; Quintana, Fernando A. |
|
2016
|
Scale-dependent priors for variance parameters in structured additive distributional regression. Zbl 1357.62115
Klein, Nadja; Kneib, Thomas |
|
2016
|
Particle learning for general mixtures. Zbl 1330.62348
Carvalho, Carlos M.; Lopes, Hedibert F.; Polson, Nicholas G.; Taddy, Matt A. |
|
2010
|
Sensitivity analysis for Bayesian hierarchical models. Zbl 1335.62059
Roos, Małgorzata; Martins, Thiago G.; Held, Leonhard; Rue, Håvard |
|
2015
|
Computationally efficient multivariate spatio-temporal models for high-dimensional count-valued data (with discussion). Zbl 1392.62148
Bradley, Jonathan R.; Holan, Scott H.; Wikle, Christopher K. |
|
2018
|
Posterior concentration rates for infinite dimensional exponential families. Zbl 1330.62179
Rivoirard, Vincent; Rousseau, Judith |
|
2012
|
Identifying outliers in Bayesian hierarchical models: a simulation-based approach. Zbl 1331.62032
Marshall, E. C.; Spiegelhalter, D. J. |
|
2007
|
Bayesian density regression with logistic Gaussian process and subspace projection. Zbl 1330.62182
Tokdar, Surya T.; Zhu, Yu M.; Ghosh, Jayanta K. |
|
2010
|
Objections to Bayesian statistics. Zbl 1330.62046
Gelman, Andrew |
|
2008
|
EM versus Markov chain Monte Carlo for estimation of hidden Markov models: a computational perspective. Zbl 1330.65023
Rydén, Tobias |
|
2008
|
Bayesian nonparametric weighted sampling inference. Zbl 1334.62024
Si, Yajuan; Pillai, Natesh S.; Gelman, Andrew |
|
2015
|
Regularization and confounding in linear regression for treatment effect estimation. Zbl 06873722
Hahn, P. Richard; Carvalho, Carlos M.; Puelz, David; He, Jingyu |
|
2018
|
Deep learning: a Bayesian perspective. Zbl 1386.68139
Polson, Nicholas G.; Sokolov, Vadim |
|
2017
|
Commensurate priors for incorporating historical information in clinical trials using general and generalized linear models. Zbl 1330.62131
Hobbs, Brian P.; Sargent, Daniel J.; Carlin, Bradley P. |
|
2012
|
Mixture modeling for marked Poisson processes. Zbl 1330.62200
Taddy, Matthew A.; Kottas, Athanasios |
|
2012
|
High-dimensional Bayesian geostatistics. Zbl 1384.62315
Banerjee, Sudipto |
|
2017
|
GPU-accelerated Bayesian learning and forecasting in simultaneous graphical dynamic linear models. Zbl 1359.62367
Gruber, Lutz; West, Mike |
|
2016
|
Bayesian generalized method of moments. Zbl 1330.62304
Yin, Guosheng |
|
2009
|
Bayesian registration of functions and curves. Zbl 1357.62151
Cheng, Wen; Dryden, Ian L.; Huang, Xianzheng |
|
2016
|
Bayesian nonparametric ROC regression modeling. Zbl 1329.62154
de Carvalho, Vanda Inácio; Jara, Alejandro; Hanson, Timothy E.; de Carvalho, Miguel |
|
2013
|
Reproducible model selection using bagged posteriors. Zbl 07810174
Huggins, Jonathan H.; Miller, Jeffrey W. |
|
2023
|
Bayesian spatial homogeneity pursuit of functional data: an application to the U.S. income distribution. Zbl 1531.62150
Hu, Guanyu; Geng, Junxian; Xue, Yishu; Sang, Huiyan |
|
2023
|
A comparison of learning rate selection methods in generalized Bayesian inference. Zbl 07810175
Wu, Pei-Shien; Martin, Ryan |
|
2023
|
Bayesian experimental design without posterior calculations: an adversarial approach. Zbl 07810176
Prangle, Dennis; Harbisher, Sophie; Gillespie, Colin S. |
|
2023
|
Bayesian approximations to hidden semi-Markov models for telemetric monitoring of physical activity. Zbl 07810191
Hadj-Amar, Beniamino; Jewson, Jack; Fiecas, Mark |
|
2023
|
Posterior predictive checking for partially observed stochastic epidemic models. Zbl 1531.62052
Aristotelous, Georgios; Kypraios, Theodore; O’Neill, Philip D. |
|
2023
|
Scalable Bayesian high-dimensional local dependence learning. Zbl 07810172
Lee, Kyoungjae; Lin, Lizhen |
|
2023
|
A Bayesian nonparametric latent space approach to modeling evolving communities in dynamic networks. Zbl 07810173
Loyal, Joshua Daniel; Chen, Yuguo |
|
2023
|
Bayesian inference for the weights in logarithmic pooling. Zbl 07810179
Carvalho, Luiz M.; Villela, Daniel A. M.; Coelho, Flavio C.; Bastos, Leonardo S. |
|
2023
|
Likelihood-free inference by ratio estimation. Zbl 07809841
Thomas, Owen; Dutta, Ritabrata; Corander, Jukka; Kaski, Samuel; Gutmann, Michael U. |
|
2022
|
Bayesian survival tree ensembles with submodel shrinkage. Zbl 07809996
Linero, Antonio R.; Basak, Piyali; Li, Yinpu; Sinha, Debajyoti |
|
2022
|
Ensemble MCMC: accelerating pseudo-marginal MCMC for state space models using the ensemble Kalman filter. Zbl 07809848
Drovandi, Christopher; Everitt, Richard G.; Golightly, Andrew; Prangle, Dennis |
|
2022
|
Heterogeneous large datasets integration using Bayesian factor regression. Zbl 1531.62013
Avalos-Pacheco, Alejandra; Rossell, David; Savage, Richard S. |
|
2022
|
Finite mixtures of ERGMs for modeling ensembles of networks. Zbl 07810148
Yin, Fan; Shen, Weining; Butts, Carter T. |
|
2022
|
Bayesian sparse spiked covariance model with a continuous matrix shrinkage prior. Zbl 1531.62037
Xie, Fangzheng; Cape, Joshua; Priebe, Carey E.; Xu, Yanxun |
|
2022
|
A Bayesian approach to modeling multivariate multilevel insurance claims in the presence of unsettled claims. Zbl 1531.62050
Côté, Marie-Pier; Genest, Christian; Stephens, David A. |
|
2022
|
mBART: multidimensional monotone BART. Zbl 1531.62023
Chipman, Hugh A.; George, Edward I.; McCulloch, Robert E.; Shively, Thomas S. |
|
2022
|
Vector operations for accelerating expensive Bayesian computations - a tutorial guide. Zbl 07809912
Warne, David J.; Sisson, Scott A.; Drovandi, Christopher |
|
2022
|
Fast and accurate estimation of non-nested binomial hierarchical models using variational inference. Zbl 07809913
Goplerud, Max |
|
2022
|
Bayesian quickest detection of credit card fraud. Zbl 1531.62048
Buonaguidi, Bruno; Mira, Antonietta; Bucheli, Herbert; Vitanis, Viton |
|
2022
|
Bayesian decision-theoretic design of experiments under an alternative model. Zbl 07810143
Overstall, Antony; McGree, James |
|
2022
|
Bayesian causal inference with bipartite record linkage. Zbl 07810152
Guha, Sharmistha; Reiter, Jerome P.; Mercatanti, Andrea |
|
2022
|
Deep Gaussian processes for calibration of computer models (with discussion). Zbl 1531.62018
Marmin, Sébastien; Filippone, Maurizio |
|
2022
|
Bias correction in clustered underreported data. Zbl 1531.62017
Lopes de Oliveira, Guilherme; Argiento, Raffaele; Loschi, Rosangela Helena; Assunção, Renato Martins; Ruggeri, Fabrizio; Branco, Márcia D’Elia |
|
2022
|
Joint Bayesian analysis of multiple response-types using the hierarchical generalized transformation model. Zbl 1531.62031
Bradley, Jonathan R. |
|
2022
|
Posterior consistency of factor dimensionality in high-dimensional sparse factor models. Zbl 07809908
Ohn, Ilsang; Kim, Yongdai |
|
2022
|
On global-local shrinkage priors for count data. Zbl 07809910
Hamura, Yasuyuki; Irie, Kaoru; Sugasawa, Shonosuke |
|
2022
|
Perfect sampling of the posterior in the hierarchical Pitman-Yor process. Zbl 07809985
Bacallado, Sergio; Favaro, Stefano; Power, Samuel; Trippa, Lorenzo |
|
2022
|
Bayesian topological learning for classifying the structure of biological networks. Zbl 1531.62078
Maroulas, Vasileios; Micucci, Cassie Putman; Nasrin, Farzana |
|
2022
|
Quantifying observed prior impact. Zbl 07809987
Jones, David E.; Trangucci, Robert N.; Chen, Yang |
|
2022
|
On a Dirichlet process mixture representation of phase-type distributions. Zbl 1531.62020
Ayala, Daniel; Jofré, Leonardo; Gutiérrez, Luis; Mena, Ramsés H. |
|
2022
|
Finding our way in the dark: approximate MCMC for approximate Bayesian methods. Zbl 1531.62005
Levi, Evgeny; Craiu, Radu V. |
|
2022
|
Bayesian nonstationary and nonparametric covariance estimation for large spatial data (with discussion). Zbl 07809850
Kidd, Brian; Katzfuss, Matthias |
|
2022
|
\(R^{\ast}\): a robust MCMC convergence diagnostic with uncertainty using decision tree classifiers. Zbl 07809903
Lambert, Ben; Vehtari, Aki |
|
2022
|
Personalized dynamic treatment regimes in continuous time: a Bayesian approach for optimizing clinical decisions with timing. Zbl 07809991
Hua, William; Mei, Hongyuan; Zohar, Sarah; Giral, Magali; Xu, Yanxun |
|
2022
|
On posterior consistency of Bayesian factor models in high dimensions. Zbl 07809993
Ma, Yucong; Liu, Jun S. |
|
2022
|
The attraction Indian buffet distribution. Zbl 07809994
Warr, Richard L.; Dahl, David B.; Meyer, Jeremy M.; Lui, Arthur |
|
2022
|
Biclustering via semiparametric Bayesian inference. Zbl 07809995
Murua, Alejandro; Quintana, Fernando Andrés |
|
2022
|
Bayesian hierarchical stacking: some models are (somewhere) useful. Zbl 07810144
Yao, Yuling; Pirš, Gregor; Vehtari, Aki; Gelman, Andrew |
|
2022
|
Rank-normalization, folding, and localization: an improved \(\widehat{R}\) for assessing convergence of MCMC (with Discussion). Zbl 07637221
Vehtari, Aki; Gelman, Andrew; Simpson, Daniel; Carpenter, Bob; Bürkner, Paul-Christian |
|
2021
|
Dynamic variable selection with spike-and-slab process priors. Zbl 1480.62132
Rockova, Veronika; McAlinn, Kenichiro |
|
2021
|
Predictive inference with Fleming-Viot-driven dependent Dirichlet processes. Zbl 1475.62229
Ascolani, Filippo; Lijoi, Antonio; Ruggiero, Matteo |
|
2021
|
Adaptive approximate Bayesian computation tolerance selection. Zbl 1480.62165
Simola, Umberto; Cisewski-Kehe, Jessi; Gutmann, Michael U.; Corander, Jukka |
|
2021
|
Particle methods for stochastic differential equation mixed effects models. Zbl 1480.62053
Botha, Imke; Kohn, Robert; Drovandi, Christopher |
|
2021
|
Sequential Bayesian experimental design for implicit models via mutual information. Zbl 07807541
Kleinegesse, Steven; Drovandi, Christopher; Gutmann, Michael U. |
|
2021
|
Objective Bayesian analysis for the Student-\(t\) linear regression. Zbl 1475.62206
He, Daojiang; Sun, Dongchu; He, Lei |
|
2021
|
Parallel Gaussian process surrogate Bayesian inference with noisy likelihood evaluations. Zbl 1480.62057
Järvenpää, Marko; Gutmann, Michael U.; Vehtari, Aki; Marttinen, Pekka |
|
2021
|
Max-and-smooth: a two-step approach for approximate Bayesian inference in latent Gaussian models. Zbl 1480.62056
Hrafnkelsson, Birgir; Siegert, Stefan; Huser, Raphaël; Bakka, Haakon; Jóhannesson, Árni V. |
|
2021
|
Bayesian inference, model selection and likelihood estimation using fast rejection sampling: the Conway-Maxwell-Poisson distribution. Zbl 07807546
Benson, Alan; Friel, Nial |
|
2021
|
The semi-hierarchical Dirichlet process and its application to clustering homogeneous distributions. Zbl 07808151
Beraha, Mario; Guglielmi, Alessandra; Quintana, Fernando A. |
|
2021
|
Generalized mixtures of Finite mixtures and telescoping sampling. Zbl 07808154
Frühwirth-Schnatter, Sylvia; Malsiner-Walli, Gertraud; Grün, Bettina |
|
2021
|
Bayesian inference over the Stiefel manifold via the Givens representation. Zbl 1493.62133
Pourzanjani, Arya A.; Jiang, Richard M.; Mitchell, Brian; Atzberger, Paul J.; Petzold, Linda R. |
|
2021
|
Centered partition processes: informative priors for clustering (with discussion). Zbl 1483.62109
Paganin, Sally; Herring, Amy H.; Olshan, Andrew F.; Dunson, David B. |
|
2021
|
Using prior expansions for prior-data conflict checking. Zbl 1480.62150
Nott, David J.; Seah, Max; Al-Labadi, Luai; Evans, Michael; Ng, Hui Khoon; Englert, Berthold-Georg |
|
2021
|
Bayesian estimation of correlation matrices of longitudinal data. Zbl 07807538
Ghosh, Riddhi Pratim; Mallick, Bani; Pourahmadi, Mohsen |
|
2021
|
Improving multilevel regression and poststratification with structured priors. Zbl 07807539
Gao, Yuxiang; Kennedy, Lauren; Simpson, Daniel; Gelman, Andrew |
|
2021
|
Bayesian restricted likelihood methods: conditioning on insufficient statistics in Bayesian regression (with discussion). Zbl 07808156
Lewis, John R.; MacEachern, Steven N.; Lee, Yoonkyung |
|
2021
|
Bayesian effect selection in structured additive distributional regression models. Zbl 1480.62058
Klein, Nadja; Carlan, Manuel; Kneib, Thomas; Lang, Stefan; Wagner, Helga |
|
2021
|
The Median probability model and correlated variables. Zbl 07808147
Barbieri, Maria M.; Berger, James O.; George, Edward I.; Ročková, Veronika |
|
2021
|
On a new class of multivariate prior distributions: theory and application in reliability. Zbl 1475.62166
Ruggeri, Fabrizio; Sánchez-Sánchez, Marta; Sordo, Miguel Ángel; Suárez-Llorens, Alfonso |
|
2021
|
Bayesian multiple changepoint detection for stochastic models in continuous time. Zbl 1480.62078
Lu, Shaochuan |
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2021
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Robust estimation in controlled branching processes: Bayesian estimators via disparities. Zbl 07807537
González, Miguel; Minuesa, Carmen; Del Puerto, Inés; Vidyashankar, Anand N. |
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2021
|
Nonparametric Bayesian modeling and estimation of spatial correlation functions for global data. Zbl 07807544
Porcu, Emilio; Bissiri, Pier Giovanni; Tagle, Felipe; Soza, Rubén; Quintana, Fernando A. |
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2021
|
Bayesian multiple quantile regression for linear models using a score likelihood. Zbl 07807545
Wu, Teng; Narisetty, Naveen N. |
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2021
|
Optional stopping with Bayes factors: a categorization and extension of folklore results, with an application to invariant situations. Zbl 07807548
Hendriksen, Allard; de Heide, Rianne; Grünwald, Peter |
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2021
|
A Symmetric prior for multinomial probit models. Zbl 07807549
Burgette, Lane F.; Puelz, David; Hahn, P. Richard |
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2021
|
Optimal shrinkage estimation of predictive densities under \(\alpha\)-divergences. Zbl 07808149
George, Edward; Mukherjee, Gourab; Yano, Keisuke |
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2021
|
Bayesian tensor response regression with an application to brain activation studies. Zbl 07808152
Guhaniyogi, Rajarshi; Spencer, Daniel |
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2021
|
Multilevel linear models, Gibbs samplers and multigrid decompositions (with discussion). Zbl 07808155
Zanella, Giacomo; Roberts, Gareth |
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2021
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A Bayesian hierarchical model for criminal investigations. Zbl 1480.62113
Bunnin, F. O.; Smith, J. Q. |
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2021
|
Where is the clean air? A Bayesian decision framework for personalised cyclist route selection using R-INLA. Zbl 1480.62016
Dawkins, Laura C.; Williamson, Daniel B.; Mengersen, Kerrie L.; Morawska, Lidia; Jayaratne, Rohan; Shaddick, Gavin |
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2021
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A phase I-II basket trial design to optimize dose-schedule regimes based on delayed outcomes. Zbl 1493.62129
Lin, Ruitao; Thall, Peter F.; Yuan, Ying |
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2021
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A model selection approach for variable selection with censored data. Zbl 1475.62084
Castellanos, María Eugenia; García-Donato, Gonzalo; Cabras, Stefano |
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2021
|
Dynamic regression models for time-ordered functional data. Zbl 1480.62260
Kowal, Daniel R. |
|
2021
|
Bayesian causal inference in probit graphical models. Zbl 07808148
Castelletti, Federico; Consonni, Guido |
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2021
|
Adaptive tuning of Hamiltonian Monte Carlo within sequential Monte Carlo. Zbl 07807540
Buchholz, Alexander; Chopin, Nicolas; Jacob, Pierre E. |
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2021
|
Robust adaptive incorporation of historical control data in a randomized trial of external cooling to treat septic shock. Zbl 07807543
Murray, Thomas A.; Thall, Peter F.; Schortgen, Frederique; Asfar, Pierre; Zohar, Sarah; Katsahian, Sandrine |
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2021
|
Fast exact Bayesian inference for sparse signals in the normal sequence model. Zbl 07807547
van Erven, Tim; Szabó, Botond |
|
2021
|
Adaptive variable selection for sequential prediction in multivariate dynamic models. Zbl 07808146
Lavine, Isaac; Lindon, Michael; West, Mike |
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2021
|
Spatial 3D Matérn priors for fast whole-brain fMRI analysis. Zbl 07808153
Sidén, Per; Lindgren, Finn; Bolin, David; Eklund, Anders; Villani, Mattias |
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2021
|
Bayesian regression tree models for causal inference: regularization, confounding, and heterogeneous effects (with discussion). Zbl 1475.62102
Hahn, P. Richard; Murray, Jared S.; Carvalho, Carlos M. |
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2020
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Infinite mixtures of infinite factor analysers. Zbl 1459.62118
Murphy, Keefe; Viroli, Cinzia; Gormley, Isobel Claire |
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2020
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A new Bayesian approach to robustness against outliers in linear regression. Zbl 1459.62133
Gagnon, Philippe; Desgagné, Alain; Bédard, Mylène |
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2020
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A unified framework for de-duplication and population size estimation (with discussion). Zbl 1459.62124
Tancredi, Andrea; Steorts, Rebecca; Liseo, Brunero |
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2020
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High-dimensional posterior consistency for hierarchical non-local priors in regression. Zbl 1437.62253
Cao, Xuan; Khare, Kshitij; Ghosh, Malay |
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2020
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Scalable Bayesian inference for the inverse temperature of a hidden Potts model. Zbl 1437.62324
Moores, Matthew; Nicholls, Geoff; Pettitt, Anthony; Mengersen, Kerrie |
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2020
|
The Bayesian update: variational formulations and gradient flows. Zbl 1437.62113
Trillos, Nicolas Garcia; Sanz-Alonso, Daniel |
|
2020
|
A role for symmetry in the Bayesian solution of differential equations. Zbl 1483.65021
Wang, Junyang; Cockayne, Jon; Oates, Chris J. |
|
2020
|
Using Bayesian latent Gaussian graphical models to infer symptom associations in verbal autopsies. Zbl 1459.62096
Li, Zehang Richard; McComick, Tyler H.; Clark, Samuel J. |
|
2020
|
Hierarchical species sampling models. Zbl 1459.62039
Bassetti, Federico; Casarin, Roberto; Rossini, Luca |
|
2020
|
Consistent group selection with Bayesian high dimensional modeling. Zbl 1459.62029
Yang, Xinming; Narisetty, Naveen N. |
|
2020
|
Dynamic quantile linear models: a Bayesian approach. Zbl 1459.62050
Gonçalves, Kelly C. M.; Migon, Hélio S.; Bastos, Leonardo S. |
|
2020
|
Determinantal point process mixtures via spectral density approach. Zbl 1437.62136
Bianchini, Ilaria; Guglielmi, Alessandra; Quintana, Fernando A. |
|
2020
|
An explanatory rationale for priors sharpened into Occam’s razors. Zbl 1480.62009
Bickel, David R. |
|
2020
|
Bayesian estimation under informative sampling with unattenuated dependence. Zbl 1437.62068
Williams, Matthew R.; Savitsky, Terrance D. |
|
2020
|
Recycling intermediate steps to improve Hamiltonian Monte Carlo. Zbl 1480.62060
Nishimura, Akihiko; Dunson, David |
|
2020
|
Bayesian inference in nonparanormal graphical models. Zbl 1459.62035
Mulgrave, Jami J.; Ghosal, Subhashis |
|
2020
|
Joint modeling of longitudinal relational data and exogenous variables. Zbl 1459.62219
Guhaniyogi, Rajarshi; Rodriguez, Abel |
|
2020
|
Bayesian inference of spatio-temporal changes of arctic sea ice. Zbl 1459.62212
Zhang, Bohai; Cressie, Noel |
|
2020
|
Bayesian network marker selection via the thresholded graph Laplacian Gaussian prior. Zbl 1437.62291
Cai, Qingpo; Kang, Jian; Yu, Tianwei |
|
2020
|
| ...and 533 more Documents |
