Results 41 to 50 of about 149,758 (276)
Efficient Bayesian inference for mechanistic modelling with high-throughput data.
PLoS Computational Biology, 2022 Bayesian methods are routinely used to combine experimental data with detailed mathematical models to obtain insights into physical phenomena. However, the computational cost of Bayesian computation with detailed models has been a notorious problem ...
Simon Martina Perez +2 more
doaj +1 more source
The Discrete Infinite Logistic Normal Distribution [PDF]
, 2012 We present the discrete infinite logistic normal distribution (DILN), a Bayesian nonparametric prior for mixed membership models. DILN is a generalization of the hierarchical Dirichlet process (HDP) that models correlation structure between the weights ...
Blei, David, Paisley, John, Wang, Chong
core +3 more sources
Approximate Bayesian Inference in Semiparametric Copula Models
Bayesian Analysis, 2017 27 pages, 18 ...
Liseo Brunero, Grazian Clara
openaire +4 more sources
Approximate Bayesian inference based on INLA algorithm
Statistical Theory and Related FieldsThe integrated nested Laplace approximation (INLA) algorithm provides a computationally efficient approach for approximate Bayesian inference, overcoming the limitations of traditional Markov chain Monte Carlo (MCMC) methods.
Pingping Wang, Wei Zhao, Yincai Tang
doaj +1 more source
Dynamic Obstacle Avoidance Using Bayesian Occupancy Filter and Approximate Inference
Sensors, 2013 The goal of this paper is to solve the problem of dynamic obstacle avoidance for a mobile platform using the stochastic optimal control framework to compute paths that are optimal in terms of safety and energy efficiency under constraints.
Sethu Vijayakumar +4 more
doaj +1 more source
Using likelihood-free inference to compare evolutionary dynamics of the protein networks of H. pylori and P. falciparum. [PDF]
PLoS Computational Biology, 2007 Gene duplication with subsequent interaction divergence is one of the primary driving forces in the evolution of genetic systems. Yet little is known about the precise mechanisms and the role of duplication divergence in the evolution of protein networks
Oliver Ratmann +5 more
doaj +1 more source
Scalable Inference for Markov Processes with Intractable Likelihoods
, 2014 Bayesian inference for Markov processes has become increasingly relevant in recent years. Problems of this type often have intractable likelihoods and prior knowledge about model rate parameters is often poor.
Gillespie, Colin S. +2 more
core +1 more source
Long‐Term Follow‐Up of Chemotherapy‐Associated Biological Aging in Women With Early Breast Cancer
Aging and Cancer, EarlyView.Women threated with adjuvant chemotherapy for early breast cancer have sustained long‐term increase in p16INK4a,, a robust marker of cell senescence, suggesting a chemotherapy‐associated age acceleration. p16INK4a as well as other biomarkers may identify patients at greatest risk for senescence‐related diseases of aging.
Hyman B. Muss +12 more
wiley +1 more source
Shared Genetic Effects and Antagonistic Pleiotropy Between Multiple Sclerosis and Common Cancers
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Epidemiologic studies have reported inconsistent altered cancer risk in individuals with multiple sclerosis (MS). Factors such as immune dysregulation, comorbidities, and disease‐modifying therapies may contribute to this variability.
Asli Buyukkurt +5 more
wiley +1 more source
Arthritis Care &Research, Accepted Article.Objectives This study aimed to investigate hand function trajectories over 5 years in primary hand osteoarthritis. Additionally, determinants of baseline and longitudinal hand function were assessed. Methods 538 patients with both baseline and 5‐year study visits were analyzed.
Annemiek V.E.M. Olde Meule +4 more
wiley +1 more source