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On recursive Bayesian predictive distributions
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On recursive Bayesian predictive distributions

P. R. Hahn
Ryan Martin
S. Walker
ArXiv (abs)PDFHTML

Papers citing "On recursive Bayesian predictive distributions"

18 / 18 papers shown
Title
Architectural and Inferential Inductive Biases For Exchangeable Sequence Modeling
Daksh Mittal
Ang Li
Tzu-Ching Yen
Daniel Guetta
Hongseok Namkoong
138
0
0
03 Mar 2025
Pre-training and in-context learning IS Bayesian inference a la De Finetti
Pre-training and in-context learning IS Bayesian inference a la De Finetti
Naimeng Ye
Hanming Yang
Andrew Siah
Hongseok Namkoong
BDLUQLM
61
6
0
06 Aug 2024
Quasi-Bayes meets Vines
Quasi-Bayes meets Vines
David Huk
Yuanhe Zhang
Mark Steel
Ritabrata Dutta
84
2
0
18 Jun 2024
Asymptotics of predictive distributions driven by sample means and variances
Asymptotics of predictive distributions driven by sample means and variances
Samuele Garelli
Fabrizio Leisen
L. Pratelli
P. Rigo
41
2
0
25 Mar 2024
Exchangeability, prediction and predictive modeling in Bayesian statistics
Exchangeability, prediction and predictive modeling in Bayesian statistics
S. Fortini
Sonia Petrone
33
7
0
15 Feb 2024
A probabilistic view on predictive constructions for Bayesian learning
A probabilistic view on predictive constructions for Bayesian learning
P. Berti
E. Dreassi
Fabrizio Leisen
P. Rigo
L. Pratelli
40
7
0
14 Aug 2022
Uncertainty Quantification and the Marginal MDP Model
Uncertainty Quantification and the Marginal MDP Model
Blake Moya
S. Walker
UQCV
23
0
0
16 Jun 2022
Quasi-Bayesian Nonparametric Density Estimation via Autoregressive Predictive Updates
Quasi-Bayesian Nonparametric Density Estimation via Autoregressive Predictive Updates
Sahra Ghalebikesabi
Chris Holmes
Edwin Fong
B. Lehmann
71
2
0
13 Jun 2022
A Predictive Approach to Bayesian Nonparametric Survival Analysis
A Predictive Approach to Bayesian Nonparametric Survival Analysis
Edwin Fong
B. Lehmann
56
8
0
21 Feb 2022
Valid inferential models for prediction in supervised learning problems
Valid inferential models for prediction in supervised learning problems
Leonardo Cella
Ryan Martin
80
22
0
19 Dec 2021
Revisiting consistency of a recursive estimator of mixing distributions
Revisiting consistency of a recursive estimator of mixing distributions
Vaidehi Dixit
Ryan Martin
74
5
0
06 Oct 2021
Calibrating generalized predictive distributions
Calibrating generalized predictive distributions
Pei-Shien Wu
Ryan Martin
100
8
0
04 Jul 2021
Bayesian predictive inference without a prior
Bayesian predictive inference without a prior
P. Berti
E. Dreassi
Fabrizio Leisen
P. Rigo
L. Pratelli
64
12
0
22 Apr 2021
Martingale posterior distributions
Martingale posterior distributions
Edwin Fong
Chris Holmes
S. Walker
UQCV
182
51
0
29 Mar 2021
Boosting in Univariate Nonparametric Maximum Likelihood Estimation
Boosting in Univariate Nonparametric Maximum Likelihood Estimation
Yunpeng Li
Zhaohui Ye
35
4
0
21 Jan 2021
Stochastic Approximation Algorithm for Estimating Mixing Distribution for Dependent Observations
Stochastic Approximation Algorithm for Estimating Mixing Distribution for Dependent Observations
Nilabja Guha
A. Roy
10
0
0
26 Jun 2020
Nearest Neighbor Dirichlet Mixtures
Nearest Neighbor Dirichlet Mixtures
Shounak Chattopadhyay
Antik Chakraborty
David B. Dunson
30
0
0
17 Mar 2020
Quasi-Bayes properties of a recursive procedure for mixtures
Quasi-Bayes properties of a recursive procedure for mixtures
S. Fortini
Sonia Petrone
28
2
0
27 Feb 2019