:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Andrews, Divya Kuttenchalil, Balakrishna, N.
Format:	Preprint
Published:	2024
Subjects:	Methodology Computation
Online Access:	https://arxiv.org/abs/2410.01283
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Softplus and Neural Architectures for Enhanced Negative Binomial INGARCH Modeling
by: Andrews, Divya Kuttenchalil, et al.
Published: (2025)

Coherent forecasting of NoGeAR(1) model
by: Andrews, Divya Kuttenchalil, et al.
Published: (2024)

An efficient method of posterior sampling for Poisson INGARCH models
by: Fan, Yixuan, et al.
Published: (2026)

State-Space Representation of INGARCH Models and Their Application in Insurance
by: Ahn, Jae Youn, et al.
Published: (2025)

Wavelet Based Time Series Models with Time-Varying Thresholds
by: Davis, Rhea, et al.
Published: (2026)

Parsimonious Modeling of Periodic Time Series Using Fourier and Wavelet Techniques
by: Davis, Rhea, et al.
Published: (2025)

Wavelet Based Periodic Autoregressive Moving Average Models
by: Davis, Rhea, et al.
Published: (2024)

Modeling Extreme Events in the Presence of Inlier: A Mixture Approach
by: Nila, Shivshankar, et al.
Published: (2025)

A Flexible Modeling of Extremes in the Presence of Inliers
by: Nila, Shivshankar, et al.
Published: (2026)

Sparse Bayesian joint modal estimation for exploratory item factor analysis
by: Hijikata, Keiichiro, et al.
Published: (2024)

New Bayesian method for estimation of Value at Risk and Conditional Value at Risk
by: Martín, Jacinto, et al.
Published: (2023)

Bayesian perspectives on exponential random graph models
by: Caimo, Alberto, et al.
Published: (2026)

Spatial meshing for general Bayesian multivariate models
by: Peruzzi, Michele, et al.
Published: (2022)

Factor pre-training in Bayesian multivariate logistic models
by: Mauri, Lorenzo, et al.
Published: (2024)

Bayesian shared parameter joint models for heterogeneous populations
by: Chen, Sida, et al.
Published: (2024)

Scalable Bayesian computation for crossed and nested hierarchical models
by: Papaspiliopoulos, Omiros, et al.
Published: (2021)

Guided sequential ABC schemes for intractable Bayesian models
by: Picchini, Umberto, et al.
Published: (2022)

A novel density-based approach for estimating unknown means, distribution visualisations and meta-analyses of quantiles
by: De Livera, Alysha M, et al.
Published: (2024)

Supporting Bayesian modelling workflows with iterative filtering for multiverse analysis
by: Riha, Anna Elisabeth, et al.
Published: (2024)

A note on auxiliary mixture sampling for Bayesian Poisson models
by: Gardini, Aldo, et al.
Published: (2025)

Bayesian inference and cure rate modeling for event history data
by: Papastamoulis, Panagiotis, et al.
Published: (2023)

MCMC for Bayesian nonparametric mixture modeling under differential privacy
by: Beraha, Mario, et al.
Published: (2023)

CliPS -- How to identify cluster distributions in Bayesian mixture models
by: Malsiner-Walli, Gertraud, et al.
Published: (2026)

Bayesian inference for ordinary differential equations models with heteroscedastic measurement error
by: Salimi, Selva, et al.
Published: (2026)

Bayesian score calibration for approximate models
by: Bon, Joshua J, et al.
Published: (2022)

Fast Bayesian inference in a class of sparse linear mixed effects models
by: Spyropoulou, M-Z., et al.
Published: (2024)

Bayesian inference for spatio-temporal hidden Markov models using the exchange algorithm
by: Tancini, Daniele, et al.
Published: (2025)

Bayesian analysis of flexible Heckman selection models using Hamiltonian Monte Carlo
by: Lim, Heeju, et al.
Published: (2025)

Bayesian variable selection in sample selection models using spike-and-slab priors
by: Iqbal, Adam J., et al.
Published: (2023)

Censored Graphical Horseshoe: Bayesian sparse precision matrix estimation with censored and missing data
by: Mai, The Tien, et al.
Published: (2026)

Renewable estimation in linear expectile regression models with streaming data sets
by: Cao, Wei, et al.
Published: (2026)

FunctionalCalibration: an R package for estimation in aggregated functional data model
by: Sousa, Alex Rodrigo dos Santos, et al.
Published: (2026)

Sequential Bayesian inference for stochastic epidemic models of cumulative incidence
by: Whitaker, Sam A., et al.
Published: (2024)

Computational methods for fast Bayesian model assessment via calibrated posterior p-values
by: Paganin, Sally, et al.
Published: (2023)

A modelling framework for detecting and leveraging node-level information in Bayesian network inference
by: Xi, Xiaoyue, et al.
Published: (2023)

Scalable likelihood-based estimation and variable selection for the Cox model with incomplete covariates
by: Kwok, Ngok Sang, et al.
Published: (2024)

A mirror descent approach to maximum likelihood estimation in latent variable models
by: Crucinio, Francesca R.
Published: (2025)

Rank estimation for the accelerated failure time model with partially interval-censored data
by: Choi, Taehwa, et al.
Published: (2025)

On Bayesian wavelet shrinkage estimation of nonparametric regression models with stationary errors
by: Sousa, Alex Rodrigo dos S., et al.
Published: (2024)

Optimal combination of composite likelihoods using approximate Bayesian computation with application to state-space models
by: Li, Wentao, et al.
Published: (2024)