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Semiparametric discrete data regression with Monte Carlo inference and
  prediction

Semiparametric discrete data regression with Monte Carlo inference and prediction

23 October 2021
Daniel R. Kowal
Bo-Hong Wu
ArXivPDFHTML

Papers citing "Semiparametric discrete data regression with Monte Carlo inference and prediction"

11 / 11 papers shown
Title
Warped Dynamic Linear Models for Time Series of Counts
Warped Dynamic Linear Models for Time Series of Counts
Brian King
Daniel R. Kowal
AI4TS
92
5
0
27 Oct 2021
Semiparametric count data regression for self-reported mental health
Semiparametric count data regression for self-reported mental health
Daniel R. Kowal
Bohan Wu
82
10
0
16 Jun 2021
A Class of Conjugate Priors for Multinomial Probit Models which Includes
  the Multivariate Normal One
A Class of Conjugate Priors for Multinomial Probit Models which Includes the Multivariate Normal One
A. Fasano
Daniele Durante
44
26
0
14 Jul 2020
Asymptotic normality, concentration, and coverage of generalized
  posteriors
Asymptotic normality, concentration, and coverage of generalized posteriors
Jeffrey W. Miller
26
65
0
22 Jul 2019
Simultaneous Transformation and Rounding (STAR) Models for
  Integer-Valued Data
Simultaneous Transformation and Rounding (STAR) Models for Integer-Valued Data
Daniel R. Kowal
A. Canale
SyDa
36
18
0
27 Jun 2019
Conjugate Bayes for probit regression via unified skew-normal
  distributions
Conjugate Bayes for probit regression via unified skew-normal distributions
Daniele Durante
58
57
0
26 Feb 2018
The Normal Law Under Linear Restrictions: Simulation and Estimation via
  Minimax Tilting
The Normal Law Under Linear Restrictions: Simulation and Estimation via Minimax Tilting
Z. Botev
26
239
0
14 Mar 2016
Needles and Straw in a Haystack: Posterior concentration for possibly
  sparse sequences
Needles and Straw in a Haystack: Posterior concentration for possibly sparse sequences
I. Castillo
A. van der Vaart
59
251
0
06 Nov 2012
Bayes and empirical-Bayes multiplicity adjustment in the
  variable-selection problem
Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem
James G. Scott
J. Berger
99
581
0
10 Nov 2010
The Nonparanormal: Semiparametric Estimation of High Dimensional
  Undirected Graphs
The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs
Han Liu
John D. Lafferty
Larry A. Wasserman
122
760
0
03 Mar 2009
BART: Bayesian additive regression trees
BART: Bayesian additive regression trees
H. Chipman
E. George
R. McCulloch
70
1,786
0
19 Jun 2008
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