:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Oelrich, Oscar, Villani, Mattias
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2402.07439
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Modeling local predictive ability using power-transformed Gaussian processes
by: Oelrich, Oscar, et al.
Published: (2024)

Spectral domain likelihoods for Bayesian inference in time-varying parameter models
by: Gustafsson, Oskar, et al.
Published: (2024)

Time-Varying Multi-Seasonal AR Models
by: Fagerberg, Ganna, et al.
Published: (2024)

Calibrated Bayesian inference for random fields on large irregular domains using the debiased spatial Whittle likelihood
by: Goodwin, Thomas, et al.
Published: (2025)

Hilbert space methods for approximating multi-output latent variable Gaussian processes
by: Mukherjee, Soham, et al.
Published: (2025)

Robust semi-parametric mixtures of linear experts using the contaminated Gaussian distribution
by: Mambondimumwe, Peterson, et al.
Published: (2026)

Determining adequate consistency levels for aggregation of expert estimates
by: Tsyganok, Vitaliy, et al.
Published: (2024)

Multivariate Gaussian process emulation for multifidelity computer models with high-dimensional spatial outputs
by: McCrimmon, Cyrus S., et al.
Published: (2026)

Latent variable estimation with composite Hilbert space Gaussian processes
by: Mukherjee, Soham, et al.
Published: (2025)

Estimation and model errors in Gaussian-process-based Sensitivity Analysis of functional outputs
by: Sáo, Yuri Taglieri, et al.
Published: (2025)

The Concordance Index decomposition: A measure for a deeper understanding of survival prediction models
by: Alabdallah, Abdallah, et al.
Published: (2022)

Online scalable Gaussian processes with conformal prediction for guaranteed coverage
by: Xu, Jinwen, et al.
Published: (2024)

Gaussian process interpolation with conformal prediction: methods and comparative analysis
by: Pion, Aurélien, et al.
Published: (2024)

A graphical multi-fidelity Gaussian process model, with application to emulation of heavy-ion collisions
by: Ji, Yi, et al.
Published: (2021)

Design-marginal calibration of Gaussian process predictive distributions: Bayesian and conformal approaches
by: Pion, Aurélien, et al.
Published: (2025)

Tissue-specific predictive performance: A unified estimation and inference framework for multi-category screening tests
by: DiRienzo, A. Gregory, et al.
Published: (2025)

Joint estimation of the basic reproduction number and serial interval using Sequential Bayes
by: Krikella, Tatiana, et al.
Published: (2026)

Locally weighted minimum contrast estimation for spatio-temporal log-Gaussian Cox processes
by: D'Angelo, Nicoletta, et al.
Published: (2022)

Bayesian estimation of a multivariate TAR model when the noise process distribution belongs to the class of Gaussian variance mixtures
by: Vanegas, L. H., et al.
Published: (2025)

Efficient estimation of subgroup treatment effects using multi-source data
by: Wang, Guanbo, et al.
Published: (2024)

Joint estimation of insurance loss development factors using Bayesian hidden Markov models
by: Goold, Conor
Published: (2024)

Fast and accurate conditioning for large-scale and online Gaussian process prediction problems
by: Arora, Samanyu, et al.
Published: (2026)

Shifted asymmetric Laplace mixtures of experts
by: Skhosana, Sphiwe B., et al.
Published: (2026)

Sampling low-fidelity outputs for estimation of high-fidelity density and its tails
by: Kim, Minji, et al.
Published: (2024)

Item response parameter estimation performance using Gaussian quadrature and Laplace
by: Arrington, Leticia, et al.
Published: (2024)

The underlap coefficient as a measure of a biomarker's discriminatory ability
by: Zhang, Zhaoxi, et al.
Published: (2025)

Semiparametric estimation for multivariate Hawkes processes using dependent Dirichlet processes: An application to order flow data in financial markets
by: Jiang, Alex Ziyu, et al.
Published: (2025)

Joint estimation of asymmetric community numbers in directed networks
by: Qing, Huan
Published: (2025)

Mixture of partially linear experts
by: Hwang, Yeongsan, et al.
Published: (2024)

Spatial-temporal prediction of forest attributes using latent Gaussian models and inventory data
by: May, Paul B., et al.
Published: (2025)

Estimating abilities with an Elo-informed growth model
by: Sigfrid, Karl, et al.
Published: (2024)

Risk-aware product decisions in A/B tests with multiple metrics
by: Schultzberg, Mårten, et al.
Published: (2024)

It's About Time: What A/B Test Metrics Estimate
by: Ankargren, Sebastian, et al.
Published: (2024)

Assessing uncertainty in Gaussian mixtures-based entropy estimation
by: Scrucca, Luca
Published: (2024)

Asset price movement prediction using empirical mode decomposition and Gaussian mixture models
by: Palma, Gabriel R., et al.
Published: (2025)

Robust designs for Gaussian process emulation of computer experiments
by: Mak, Simon, et al.
Published: (2025)

Scalable generative modeling of non-Gaussian spatio-temporal fields via autoregressive Gaussian processes
by: Lei-Cramer, Carrie J., et al.
Published: (2026)

Improving time series estimation and prediction via transfer learning
by: Lin, Yuchang, et al.
Published: (2025)

Spectral estimation for spatial point processes and random fields
by: Grainger, Jake P., et al.
Published: (2023)

Vecchia approximated Bayesian heteroskedastic Gaussian processes
by: Patil, Parul V., et al.
Published: (2025)