ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1411.1314
  4. Cited By
Computation of Gaussian orthant probabilities in high dimension
v1v2 (latest)

Computation of Gaussian orthant probabilities in high dimension

5 November 2014
James Ridgway
ArXiv (abs)PDFHTML

Papers citing "Computation of Gaussian orthant probabilities in high dimension"

9 / 9 papers shown
Title
ReLU Networks as Random Functions: Their Distribution in Probability Space
ReLU Networks as Random Functions: Their Distribution in Probability Space
Shreyas Chaudhari
J. M. F. Moura
87
0
0
28 Mar 2025
Bayesian conjugacy in probit, tobit, multinomial probit and extensions:
  A review and new results
Bayesian conjugacy in probit, tobit, multinomial probit and extensions: A review and new results
Niccolò Anceschi
A. Fasano
Daniele Durante
Giacomo Zanella
83
18
0
16 Jun 2022
Waste-free Sequential Monte Carlo
Waste-free Sequential Monte Carlo
Hai-Dang Dau
Nicolas Chopin
79
21
0
04 Nov 2020
Referenced Thermodynamic Integration for Bayesian Model Selection:
  Application to COVID-19 Model Selection
Referenced Thermodynamic Integration for Bayesian Model Selection: Application to COVID-19 Model Selection
I. Hawryluk
Swapnil Mishra
Seth Flaxman
Samir Bhatt
T. Mellan
27
1
0
08 Sep 2020
An invitation to sequential Monte Carlo samplers
An invitation to sequential Monte Carlo samplers
Chenguang Dai
J. Heng
Pierre E. Jacob
N. Whiteley
136
68
0
23 Jul 2020
Adaptive Tuning Of Hamiltonian Monte Carlo Within Sequential Monte Carlo
Adaptive Tuning Of Hamiltonian Monte Carlo Within Sequential Monte Carlo
Alexander K. Buchholz
Nicolas Chopin
Pierre E. Jacob
90
34
0
23 Aug 2018
Unbiased and Consistent Nested Sampling via Sequential Monte Carlo
Unbiased and Consistent Nested Sampling via Sequential Monte Carlo
R. Salomone
Leah F. South
A. M. Johansen
Christopher C. Drovandi
Dirk P. Kroese
122
34
0
10 May 2018
Probably approximate Bayesian computation: nonasymptotic convergence of
  ABC under misspecification
Probably approximate Bayesian computation: nonasymptotic convergence of ABC under misspecification
James Ridgway
86
8
0
19 Jul 2017
Leave Pima Indians alone: binary regression as a benchmark for Bayesian
  computation
Leave Pima Indians alone: binary regression as a benchmark for Bayesian computation
Nicolas Chopin
James Ridgway
110
76
0
29 Jun 2015
1