Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1507.04544
Cited By
v1
v2
v3
v4
v5 (latest)
Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC
Statistics and computing (Stat. Comput.), 2015
16 July 2015
Aki Vehtari
Andrew Gelman
Jonah Gabry
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC"
50 / 177 papers shown
Investigating Lexical Change through Cross-Linguistic Colexification Patterns
Kim Gfeller
Sabine Stoll
Chundra Cathcart
Paul Widmer
84
1
0
15 Oct 2025
Environment-Aware Indoor LoRaWAN Path Loss: Parametric Regression Comparisons, Shadow Fading, and Calibrated Fade Margins
Nahshon Mokua Obiri
Kristof Van Laerhoven
82
0
0
05 Oct 2025
On Quantification of Borrowing of Information in Hierarchical Bayesian Models
P. Ghosh
A. Bhattacharya
D. Pati
146
0
0
22 Sep 2025
RefineStat: Efficient Exploration for Probabilistic Program Synthesis
Madhav Kanda
Shubham Ugare
Sasa Misailovic
149
2
0
01 Sep 2025
BKP: An R Package for Beta Kernel Process Modeling
Jiangyan Zhao
Kunhai Qing
Jin Xu
162
0
0
14 Aug 2025
Comparing Exploration-Exploitation Strategies of LLMs and Humans: Insights from Standard Multi-armed Bandit Experiments
Ziyuan Zhang
Darcy Wang
Ningyuan Chen
Rodrigo Mansur
Vahid Sarhangian
505
0
0
15 May 2025
People Are Highly Cooperative with Large Language Models, Especially When Communication Is Possible or Following Human Interaction
Paweł Niszczota
Tomasz Grzegorczyk
Alexander Pastukhov
193
1
0
10 May 2025
CoCoAFusE: Beyond Mixtures of Experts via Model Fusion
Aurelio Raffa Ugolini
M. Tanelli
Valentina Breschi
MoE
369
1
0
02 May 2025
MicroNAS: An Automated Framework for Developing a Fall Detection System
Seyed Mojtaba Mohasel
John Sheppard
Lindsey K. Molina
Richard R. Neptune
Shane R. Wurdeman
Corey A. Pew
306
1
0
10 Apr 2025
Scalable Expectation Estimation with Subtractive Mixture Models
Lena Zellinger
Nicola Branchini
Victor Elvira
Antonio Vergari
364
0
0
27 Mar 2025
Understanding the Trade-offs in Accuracy and Uncertainty Quantification: Architecture and Inference Choices in Bayesian Neural Networks
Alisa Sheinkman
Sara Wade
UQCV
BDL
425
0
0
14 Mar 2025
Semantics drives analogical change in Germanic strong verb paradigms: a phylogenetic study
Alexandru Craevschi
Sarah Babinski
Chundra Cathcart
243
0
0
24 Feb 2025
SequentialSamplingModels.jl: Simulating and Evaluating Cognitive Models of Response Times in Julia
Kianté Fernandez
Dominique Makowski
Christopher Fisher
135
0
0
10 Nov 2024
CriticAL: Critic Automation with Language Models
Michael Y. Li
Vivek Vajipey
Noah D. Goodman
Emily B. Fox
202
2
0
10 Nov 2024
ELBOing Stein: Variational Bayes with Stein Mixture Inference
Ola Rønning
Eric T. Nalisnick
Christophe Ley
Padhraic Smyth
Thomas Hamelryck
BDL
387
1
0
30 Oct 2024
Bayesian shared parameter joint models for heterogeneous populations
Statistics and computing (Stat. Comput.), 2024
Sida Chen
Danilo Alvares
Marco Palma
Jessica K. Barrett
319
1
0
29 Oct 2024
Probability Proofs for Stirling (and More): the Ubiquitous Role of
2
π
\mathbf{\sqrt{2π}}
2
π
N. Hjort
E. A. Stoltenberg
49
0
0
25 Oct 2024
pyhgf: A neural network library for predictive coding
Nicolas Legrand
Lilian A. E. Weber
Peter Thestrup Waade
Anna Hedvig Møller Daugaard
Mojtaba Khodadadi
Nace Mikuš
C. Mathys
AI4CE
266
3
0
11 Oct 2024
Gradient-free variational learning with conditional mixture networks
Conor Heins
Hao Wu
Dimitrije Marković
Alexander Tschantz
Jeff Beck
Christopher L. Buckley
BDL
494
4
0
29 Aug 2024
A Bayesian approach for fitting semi-Markov mixture models of cancer latency to individual-level data
Raphaël Morsomme
Shannon Holloway
Marc Ryser
Jason Xu
170
0
0
26 Aug 2024
Amortized Bayesian Multilevel Models
Daniel Habermann
Marvin Schmitt
Lars Kühmichel
Andreas Bulling
Stefan T. Radev
Paul-Christian Bürkner
749
11
0
23 Aug 2024
Predictive performance of power posteriors
Biometrika (Biometrika), 2024
Yann McLatchie
Edwin Fong
David T. Frazier
Jeremias Knoblauch
270
13
0
16 Aug 2024
Formalising Anti-Discrimination Law in Automated Decision Systems
Holli Sargeant
Måns Magnusson
FaML
621
4
0
29 Jun 2024
Bayesian calibration of stochastic agent based model via random forest
Connor Robertson
Cosmin Safta
Nicholson T. Collier
J. Ozik
Jaideep Ray
365
11
0
27 Jun 2024
Proximal Interacting Particle Langevin Algorithms
Paula Cordero Encinar
F. R. Crucinio
O. Deniz Akyildiz
378
10
0
20 Jun 2024
Review and Prospect of Algebraic Research in Equivalent Framework between Statistical Mechanics and Machine Learning Theory
Sumio Watanabe
421
1
0
31 May 2024
The ARR2 prior: flexible predictive prior definition for Bayesian auto-regressions
David Kohns
Noa Kallioinen
Yann McLatchie
Aki Vehtari
362
3
0
30 May 2024
Understanding and mitigating difficulties in posterior predictive evaluation
Abhinav Agrawal
Justin Domke
UQCV
306
0
0
30 May 2024
BayesBlend: Easy Model Blending using Pseudo-Bayesian Model Averaging, Stacking and Hierarchical Stacking in Python
Nathaniel Haines
Conor Goold
MoMe
277
1
0
30 Apr 2024
Why not a thin plate spline for spatial models? A comparative study using Bayesian inference
J. Cavieres
Paula Moraga
Cole C. Monnahan
107
0
0
19 Apr 2024
Data-driven subgrouping of patient trajectories with chronic diseases: Evidence from low back pain
Christof Naumzik
A. Kongsted
W. Vach
Stefan Feuerriegel
CML
187
0
0
16 Apr 2024
Supporting Bayesian modelling workflows with iterative filtering for multiverse analysis
Anna Elisabeth Riha
Nikolas Siccha
Antti Oulasvirta
Aki Vehtari
323
1
0
02 Apr 2024
Automated Statistical Model Discovery with Language Models
Michael Y. Li
Emily B. Fox
Noah D. Goodman
455
34
0
27 Feb 2024
Perturbative adaptive importance sampling for Bayesian LOO cross-validation
Joshua C. Chang
Xiangting Li
Shixin Xu
Hao-Ren Yao
Julia Porcino
Carson C. Chow
Carson Chow
410
0
0
13 Feb 2024
The Impact of Elicitation and Contrasting Narratives on Engagement, Recall and Attitude Change with News Articles Containing Data Visualization
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2024
Milad Rogha
Subham Sah
Alireza Karduni
Douglas Markant
Wenwen Dou
268
9
0
10 Jan 2024
A Representative Study on Human Detection of Artificially Generated Media Across Countries
Joel Frank
Franziska Herbert
Jonas Ricker
Lea Schonherr
Thorsten Eisenhofer
Asja Fischer
Markus Dürmuth
Thorsten Holz
288
36
0
10 Dec 2023
Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference
Statistics and computing (Stat. Comput.), 2023
Philipp Reiser
Javier Enrique Aguilar
A. Guthke
Paul-Christian Bürkner
477
14
0
08 Dec 2023
Bayesian variable selection in sample selection models using spike-and-slab priors
Adam Iqbal
E. Ogundimu
F. J. Rubio
126
1
0
06 Dec 2023
Bayesian inference of a new Mallows model for characterising symptom sequences applied in primary progressive aphasia
B. Taylor
Cameron Shand
C. Hardy
N. Oxtoby
125
0
0
22 Nov 2023
Co-data Learning for Bayesian Additive Regression Trees
Jeroen M. Goedhart
Thomas Klausch
Jurriaan Janssen
M. A. van de Wiel
169
1
0
16 Nov 2023
An Embedded Diachronic Sense Change Model with a Case Study from Ancient Greek
Computational Statistics & Data Analysis (CSDA), 2023
Schyan Zafar
Geoff K. Nicholls
613
1
0
01 Nov 2023
Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Tim Reichelt
C.-H. Luke Ong
Tom Rainforth
279
0
0
23 Oct 2023
Sensitivity-Aware Amortized Bayesian Inference
Lasse Elsemüller
Hans Olischläger
Marvin Schmitt
Paul-Christian Bürkner
Ullrich Kothe
Stefan T. Radev
716
22
0
17 Oct 2023
Efficient estimation and correction of selection-induced bias with order statistics
Statistics and computing (Stat. Comput.), 2023
Yann McLatchie
Aki Vehtari
319
6
0
07 Sep 2023
Spectral information criterion for automatic elbow detection
Expert systems with applications (ESWA), 2023
Luca Martino
Roberto San Millán-Castillo
E. Morgado
188
15
0
17 Aug 2023
Universal and Automatic Elbow Detection for Learning the Effective Number of Components in Model Selection Problems
E. Morgado
Luca Martino
Roberto San Millán-Castillo
208
16
0
17 Aug 2023
Identifiability and Falsifiability: Two Challenges for Bayesian Model Expansion
Bayesian Analysis (Bayes. Anal.), 2023
Collin Cademartori
167
0
0
26 Jul 2023
A Bayesian Programming Approach to Car-following Model Calibration and Validation using Limited Data
Franklin Abodo
262
0
0
19 Jul 2023
Intersectionality in Conversational AI Safety: How Bayesian Multilevel Models Help Understand Diverse Perceptions of Safety
Christopher Homan
Greg Serapio-García
Lora Aroyo
Mark Díaz
Alicia Parrish
Vinodkumar Prabhakaran
Alex S. Taylor
Ding Wang
268
11
0
20 Jun 2023
Computational methods for fast Bayesian model assessment via calibrated posterior p-values
Journal of Computational And Graphical Statistics (JCGS), 2023
S. Paganin
P. de Valpine
190
2
0
08 Jun 2023
1
2
3
4
Next
Page 1 of 4