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Lognormal and Gamma Mixed Negative Binomial Regression

Lognormal and Gamma Mixed Negative Binomial Regression

27 June 2012
Mingyuan Zhou
Lingbo Li
David B. Dunson
Lawrence Carin
ArXiv (abs)PDFHTML

Papers citing "Lognormal and Gamma Mixed Negative Binomial Regression"

25 / 25 papers shown
Title
Bayesian Controlled FDR Variable Selection via Knockoffs
Bayesian Controlled FDR Variable Selection via Knockoffs
Lorenzo Focardi-Olmi
Anna Gottard
Michele Guindani
Marina Vannucci
48
0
0
05 Nov 2024
Bayesian Non-linear Latent Variable Modeling via Random Fourier Features
Bayesian Non-linear Latent Variable Modeling via Random Fourier Features
M. Zhang
Gregory W. Gundersen
Barbara Engelhardt
BDL
30
2
0
14 Jun 2023
Bayesian CART models for insurance claims frequency
Bayesian CART models for insurance claims frequency
Yaojun Zhang
L. Ji
Georgios Aivaliotis
Charles Taylor
39
4
0
03 Mar 2023
Sparse Infinite Random Feature Latent Variable Modeling
Sparse Infinite Random Feature Latent Variable Modeling
M. Zhang
62
1
0
20 May 2022
Doubly Non-Central Beta Matrix Factorization for DNA Methylation Data
Doubly Non-Central Beta Matrix Factorization for DNA Methylation Data
Aaron Schein
Anjali Nagulpally
Hanna M. Wallach
Patrick Flaherty
39
4
0
12 Jun 2021
SimCD: Simultaneous Clustering and Differential expression analysis for
  single-cell transcriptomic data
SimCD: Simultaneous Clustering and Differential expression analysis for single-cell transcriptomic data
Seyednami Niyakan
Ehsan Hajiramezanali
Shahin Boluki
Siamak Zamani Dadaneh
Xiaoning Qian
27
6
0
04 Apr 2021
MCMC-Interactive Variational Inference
MCMC-Interactive Variational Inference
Quan Zhang
Huangjie Zheng
Mingyuan Zhou
49
1
0
02 Oct 2020
Graph Gamma Process Generalized Linear Dynamical Systems
Graph Gamma Process Generalized Linear Dynamical Systems
Rahi Kalantari
Mingyuan Zhou
24
2
0
25 Jul 2020
Fast Bayesian Estimation of Spatial Count Data Models
Fast Bayesian Estimation of Spatial Count Data Models
P. Bansal
Rico Krueger
D. Graham
74
8
0
07 Jul 2020
Latent variable modeling with random features
Latent variable modeling with random features
Gregory W. Gundersen
M. Zhang
Barbara E. Engelhardt
BDLDRL
44
11
0
19 Jun 2020
Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel
Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel
Zheng Yu
Xuhui Fan
M. Pietrasik
Marek Reformat
22
5
0
17 Jan 2020
A Multilayered Block Network Model to Forecast Large Dynamic
  Transportation Graphs: an Application to US Air Transport
A Multilayered Block Network Model to Forecast Large Dynamic Transportation Graphs: an Application to US Air Transport
Hector Rodriguez-Deniz
M. Villani
Augusto Voltes-Dorta
AI4TS
14
7
0
29 Nov 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
58
19
0
27 Jun 2019
Nonparametric Bayesian Lomax delegate racing for survival analysis with
  competing risks
Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks
Quan Zhang
Mingyuan Zhou
38
17
0
19 Oct 2018
Semi-Implicit Variational Inference
Semi-Implicit Variational Inference
Mingzhang Yin
Mingyuan Zhou
BDL
89
128
0
28 May 2018
Parsimonious Bayesian deep networks
Parsimonious Bayesian deep networks
Mingyuan Zhou
BDL
34
8
0
22 May 2018
PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits
PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits
Bianca Dumitrascu
Karen Feng
Barbara E. Engelhardt
57
41
0
18 May 2018
Negative Binomial Matrix Factorization for Recommender Systems
Negative Binomial Matrix Factorization for Recommender Systems
Olivier Gouvert
Thomas Oberlin
Cédric Févotte
27
9
0
05 Jan 2018
Coresets for Dependency Networks
Coresets for Dependency Networks
Alejandro Molina
Alexander Munteanu
Kristian Kersting
31
1
0
09 Oct 2017
Bayesian latent structure discovery from multi-neuron recordings
Bayesian latent structure discovery from multi-neuron recordings
Scott W. Linderman
Ryan P. Adams
Jonathan W. Pillow
53
54
0
26 Oct 2016
Softplus Regressions and Convex Polytopes
Softplus Regressions and Convex Polytopes
Mingyuan Zhou
70
16
0
23 Aug 2016
Dependent Multinomial Models Made Easy: Stick Breaking with the
  Pólya-Gamma Augmentation
Dependent Multinomial Models Made Easy: Stick Breaking with the Pólya-Gamma Augmentation
Scott W. Linderman
Matthew J. Johnson
Ryan P. Adams
72
98
0
18 Jun 2015
Expectation-maximization for logistic regression
Expectation-maximization for logistic regression
James G. Scott
Liangrui Sun
65
22
0
31 May 2013
Negative Binomial Process Count and Mixture Modeling
Negative Binomial Process Count and Mixture Modeling
Mingyuan Zhou
Lawrence Carin
107
205
0
15 Sep 2012
Augment-and-Conquer Negative Binomial Processes
Augment-and-Conquer Negative Binomial Processes
Mingyuan Zhou
Lawrence Carin
128
58
0
05 Sep 2012
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