Image de couverture de livre

Adaptive Bayesian computation for efficient biobank-scale genomic inference

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Li, Yiran, Whittaker, John, Richardson, Sylvia, Ruffieux, Helene
Format:	Preprint
Publié:	2025
Sujets:	Applications
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Efficient Bayesian functional principal component analysis of irregularly-observed multivariate curves
par: Nolan, Tui, et autres
Publié: (2023)

Bayesian inference of Latent Spectral Shapes
par: Yip, Hiu Ching, et autres
Publié: (2024)

Bayesian integrative factor analysis methods, with application in nutrition and genomics data
par: Liang, Mavis, et autres
Publié: (2025)

Fast Bayesian inference for spatial mean-parameterized Conway-Maxwell-Poisson models
par: Kang, Bokgyeong, et autres
Publié: (2023)

A modelling framework for detecting and leveraging node-level information in Bayesian network inference
par: Xi, Xiaoyue, et autres
Publié: (2023)

Bayesian inference for link travel time correlation of a bus route
par: Chen, Xiaoxu, et autres
Publié: (2022)

Sample efficient likelihood-free inference for virus dynamics with different types of experiments
par: Xu, Yingying
Publié: (2025)

Integrating representative and non-representative survey data for efficient inference
par: Dyrkton, Nathaniel, et autres
Publié: (2024)

Gradient-free ensemble transform methods for generalized Bayesian inference in generative models
par: Bhandari, Diksha, et autres
Publié: (2026)

Bayesian decision theory for wildlife management under uncertainty: from inference to action
par: Gimenez, Olivier, et autres
Publié: (2026)

Bayesian inference for the Markov-modulated Poisson process with an outcome process
par: Luo, Yu, et autres
Publié: (2024)

Robust Bayesian causal estimation for causal inference in medical diagnosis
par: Basu, Tathagata, et autres
Publié: (2024)

Simulation-based Benchmarking for Causal Structure Learning in Gene Perturbation Experiments
par: Kovačević, Luka, et autres
Publié: (2024)

Chromosome‐scale reference genome of Pectocarya recurvata , the species with the smallest reported genome size in Boraginaceae
par: Poppy C. Northing, et autres
Publié: (2025)

GPU-accelerated Bayesian inference for block-cave mine monitoring via muon tomography
par: Biron-Lattes, Miguel, et autres
Publié: (2026)

Bayesian Adaptive Trials for Social Policy
par: Cripps, Sally, et autres
Publié: (2024)

Bayesian nonparametric mixtures of categorical directed graphs for heterogeneous causal inference
par: Castelletti, Federico, et autres
Publié: (2024)

Robust and efficient multiple-unit switchback experimentation
par: Missault, Paul, et autres
Publié: (2025)

Multi-objective Bayesian optimization for Likelihood-Free inference in sequential sampling models of decision making
par: Chen, David, et autres
Publié: (2024)

Nonparametric efficient inference for network quantile causal effects under partial interference
par: Cheng, Chao, et autres
Publié: (2026)

Bayesian inference for hidden Markov models under genuine multimodality with application to ecological time series
par: Gallegos-Herrada, Marco A., et autres
Publié: (2026)

Bayesian modelling and computation utilising directed cycles in multiple network data
par: Mantziou, Anastasia, et autres
Publié: (2021)

The efficiencies of pilot feasibility trials in rare diseases using Bayesian methods
par: Maleyeff, Lara, et autres
Publié: (2025)

Adaptive multi-wave sampling for efficient chart validation
par: Hahn, Georg, et autres
Publié: (2025)

Sequential Bayesian inference for stochastic epidemic models of cumulative incidence
par: Whitaker, Sam A., et autres
Publié: (2024)

Bayesian inference for precise and uncertainty-quantified single-shot widefield interferometric geometrical nanometrology
par: Suski, Damian, et autres
Publié: (2025)

Approximate Bayesian inference for high-resolution spatial disaggregation using alternative data sources
par: Pakrashi, Anis, et autres
Publié: (2024)

Hierarchical Bayesian inference for community detection and connectivity of functional brain networks
par: Bian, Lingbin, et autres
Publié: (2023)

Non-parametric inference on calibration of predicted risks
par: Sadatsafavi, Mohsen, et autres
Publié: (2023)

Fast approximate Bayesian inference of HIV indicators using PCA adaptive Gauss-Hermite quadrature
par: Howes, Adam, et autres
Publié: (2025)

Logistic regression is not enough: The need for Bayesian nonparametric modelling for causal inference using observational data, exemplified by the 'gateway' effect
par: Foxon, Floe, et autres
Publié: (2026)

Quest for an efficient mathematical and computational method to explore optimal extreme weather modification
par: Sawada, Yohei
Publié: (2024)

Rate-optimal and computationally efficient nonparametric estimation on the circle and the sphere
par: Georgiadis, Athanasios G., et autres
Publié: (2025)

Semi-parametric efficient estimation of small genetic effects in large-scale population cohorts
par: Labayle, Olivier, et autres
Publié: (2025)

A practical and efficient approach for Bayesian reservoir inversion: Insights from the Alvheim field data
par: Auestad, Karen S, et autres
Publié: (2024)

Multidimensional scaling informed by $F$-statistic: Visualizing grouped microbiome data with inference
par: Kim, Hyungseok, et autres
Publié: (2023)

Bayesian sequential design of computer experiments for quantile set inversion
par: Abdelmalek-Lomenech, Romain Ait, et autres
Publié: (2022)

On the Consistency of Bayesian Adaptive Testing under the Rasch Model
par: Yang, Hau-Hung, et autres
Publié: (2024)

Benthic habitat structure explains broad‐scale patterns in reef fish communities
par: Mollie Asbury, et autres
Publié: (2026)

Bayesian compartmental modelling of MRSA transmission within hospitals in Edmonton, Canada
par: Li, Ruoyu, et autres
Publié: (2025)