:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Refaeli, David, Marcus-Kalish, Mira, Steinberg, David M.
Format:	Preprint
Published:	2025
Subjects:	Computation 62-08
Online Access:	https://arxiv.org/abs/2504.11925
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Simulation-Based Fitting of Intractable Models via Sequential Sampling and Local Smoothing
by: Masarotto, Guido
Published: (2025)

Simulation and inference methods for non-Markovian stochastic biochemical reaction networks
by: Steele, Thomas P., et al.
Published: (2025)

Reducing normalizing flow complexity for MCMC preconditioning
by: Nabergoj, David, et al.
Published: (2025)

Saddlepoint Monte Carlo and its Application to Exact Ecological Inference
by: Voldoire, Théo, et al.
Published: (2024)

A Benchmark Study of Classical and Dual Polynomial Regression (DPR)-Based Probability Density Estimation Technique
by: Sarkar, Shantanu, et al.
Published: (2025)

Estimating Value at Risk and Expected Shortfall: A Brief Review and Some New Developments
by: Kamronnaher, Kanon, et al.
Published: (2024)

Estimation of log-Gaussian gamma processes with iterated posterior linearization and Hamiltonian Monte Carlo
by: Härkönen, Teemu, et al.
Published: (2026)

elicito: A Python Package for Expert Prior Elicitation
by: Bockting, Florence, et al.
Published: (2025)

Bayesian multilevel compositional data analysis with the R package multilevelcoda
by: Le, Flora, et al.
Published: (2024)

Improved approximation and visualization of the correlation matrix
by: Graffelman, Jan, et al.
Published: (2022)

A Principled Approach to Bayesian Transfer Learning
by: Bretherton, Adam, et al.
Published: (2025)

On exact computation of Tukey depth central regions
by: Fojtík, Vít, et al.
Published: (2022)

Convergence of SMACOF
by: De Leeuw, Jan
Published: (2024)

Rate accelerated inference for integrals of multivariate random functions
by: Patilea, Valentin, et al.
Published: (2024)

Functional Partial Least-Squares: Adaptive Estimation and Inference
by: Babii, Andrii, et al.
Published: (2024)

Antimodes and Graphical Anomaly Exploration via Adaptive Depth Quantile Functions
by: Chandler, Gabriel, et al.
Published: (2022)

Bayesian multilevel compositional data analysis: introduction, evaluation, and application
by: Le, Flora, et al.
Published: (2024)

Grid Point Approximation for Distributed Nonparametric Smoothing and Prediction
by: Gao, Yuan, et al.
Published: (2024)

Efficient Shapley Performance Attribution for Least-Squares Regression
by: Bell, Logan, et al.
Published: (2023)

Inference for non-stationary time series quantile regression with inequality constraints
by: Sun, Yuan, et al.
Published: (2024)

Rolling-Origin Conformal Prediction under Local Stationarity and Weak Dependence
by: Halkiewicz, Stanisław M. S.
Published: (2026)

MOODE: An R Package for Multi-Objective Optimal Design of Experiments
by: Koutra, Vasiliki, et al.
Published: (2024)

Statistical Disaggregation -- a Monte Carlo Approach for Imputation under Constraints
by: Hu, Shenggang, et al.
Published: (2025)

Stochastic Gradient Piecewise Deterministic Monte Carlo Samplers
by: Fearnhead, Paul, et al.
Published: (2024)

Localizing differences in smooths with simultaneous confidence bounds on the true discovery proportion
by: Swanson, David
Published: (2020)

A novel CFA+EFA model to detect aberrant respondents
by: Cao, Niccolò, et al.
Published: (2023)

Comparative Judgement Modeling to Map Forced Marriage at Local Levels
by: Seymour, R. G., et al.
Published: (2022)

Global Minima by Penalized Full-dimensional Scaling
by: de Leeuw, Jan
Published: (2024)

Data-driven configuration tuning of glmnet for balancing accuracy and computational efficiency
by: Muroya, Shuhei, et al.
Published: (2026)

Estimation and Uniform Inference in Sparse High-Dimensional Additive Models
by: Bach, Philipp, et al.
Published: (2020)

MCMC for multi-modal distributions
by: Łatuszyński, Krzysztof, et al.
Published: (2025)

Exact Bayesian inference for Markov switching diffusions
by: Stumpf-Fétizon, Timothée, et al.
Published: (2025)

Scalable Bernoulli factories for Bayesian inference with intractable likelihoods
by: Stumpf-Fétizon, Timothée, et al.
Published: (2025)

Inference with Mondrian Random Forests
by: Cattaneo, Matias D., et al.
Published: (2023)

Variance-Reduced Manifold Sampling via Polynomial-Maximization Density Estimation
by: Zabolotnii, Serhii
Published: (2026)

Covariance Expressions for Multi-Fidelity Sampling with Multi-Output, Multi-Statistic Estimators: Application to Approximate Control Variates
by: Dixon, Thomas O., et al.
Published: (2023)

Using iterated local alignment to aggregate trajectory data into a traffic flow map
by: Duong, Tarn
Published: (2024)

Estimation of a Likelihood Ratio Ordered Family of Distributions
by: Mösching, Alexandre, et al.
Published: (2020)

Local Quasi-Exponential Growth Models: Kernel Differential Equation Regression and Sparse Data
by: Ge, Chunlei, et al.
Published: (2025)

Assessing and improving reliability of neighbor embedding methods: a map-continuity perspective
by: Liu, Zhexuan, et al.
Published: (2024)