標(biāo)題: Titlebook: Bayesian Statistics and New Generations; BAYSM 2018, Warwick, Raffaele Argiento,Daniele Durante,Sara Wade Conference proceedings 2019 Sprin [打印本頁(yè)] 作者: Traction 時(shí)間: 2025-3-21 16:35
書(shū)目名稱Bayesian Statistics and New Generations影響因子(影響力)
書(shū)目名稱Bayesian Statistics and New Generations影響因子(影響力)學(xué)科排名
書(shū)目名稱Bayesian Statistics and New Generations網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Bayesian Statistics and New Generations網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Bayesian Statistics and New Generations被引頻次
書(shū)目名稱Bayesian Statistics and New Generations被引頻次學(xué)科排名
書(shū)目名稱Bayesian Statistics and New Generations年度引用
書(shū)目名稱Bayesian Statistics and New Generations年度引用學(xué)科排名
書(shū)目名稱Bayesian Statistics and New Generations讀者反饋
書(shū)目名稱Bayesian Statistics and New Generations讀者反饋學(xué)科排名
作者: 大量殺死 時(shí)間: 2025-3-21 22:58 作者: 摘要 時(shí)間: 2025-3-22 00:26 作者: gout109 時(shí)間: 2025-3-22 06:44 作者: dyspareunia 時(shí)間: 2025-3-22 12:23 作者: dialect 時(shí)間: 2025-3-22 15:41
Multiplicative Latent Force Modelsthe flexibility to handle those situations in which data is sparse relative to model complexity, or a full specification is hard to motivate. Latent force models achieve this dual aim by specifying a parsimonious linear evolution equation with an additive latent Gaussian process (GP) forcing term. I作者: Introduction 時(shí)間: 2025-3-22 20:55 作者: Indent 時(shí)間: 2025-3-22 23:13 作者: Coeval 時(shí)間: 2025-3-23 01:32 作者: Handedness 時(shí)間: 2025-3-23 09:28 作者: 壟斷 時(shí)間: 2025-3-23 10:18 作者: INTER 時(shí)間: 2025-3-23 14:33
Bayesian Inference of Interaction Effects in Item-Level Hierarchical Twin Datarait (phenotype). Considerable effort has been devoted to analyses including interactions between these different sources, such as gene-environment interactions. To measure the phenotype, usually, a questionnaire is presented to monozygotic (MZ) and dizygotic (DZ) twins and the resulting sum-scores 作者: 消音器 時(shí)間: 2025-3-23 21:30
A Phase II Clinical Trial Design for Associated Co-primary Efficacy and Toxicity Outcomes with Baselpy?called pembrolizumab in a specific subgroup of lung cancer patients. Previous trials have shown that the probability of efficacy is correlated with particular patient variables. There are clinical trial designs that investigate co-primary efficacy and toxicity outcomes in phase II, but few that i作者: uveitis 時(shí)間: 2025-3-24 01:58 作者: Obverse 時(shí)間: 2025-3-24 03:59 作者: penance 時(shí)間: 2025-3-24 06:56 作者: AVID 時(shí)間: 2025-3-24 14:24
2194-1009 w theoretical, methodological, and computational aspects are often combined in the Bayesian framework to successfully tackle complex problems..978-3-030-30613-7978-3-030-30611-3Series ISSN 2194-1009 Series E-ISSN 2194-1017 作者: Pastry 時(shí)間: 2025-3-24 15:30
Mark N. Gasson,Eleni Kosta,Diana M. Bowmaned forms of the sought functions, where the . is constructed such that the unknown system parameters are embedded within its support. The likelihood of the unknowns given the available data is defined in terms of such a .. We make an application of this methodology, to learn the density of all gravi作者: crockery 時(shí)間: 2025-3-24 21:19 作者: Costume 時(shí)間: 2025-3-25 02:06 作者: 異端 時(shí)間: 2025-3-25 03:29
Robert Yarchoan,Hiroaki Mitsuyaquentist framework. As an alternative, we can adopt the Bayesian framework and use off-the-shelf MCMC methods. This chapter contains an overview of this methodology, including different parametrizations of interaction terms. To illustrate the methodology, the depression scores of 364 MZ twin pairs a作者: indemnify 時(shí)間: 2025-3-25 09:13
Koen K. A. Van Rompay,Kartika Jayashankar novel refinement appropriate for use in phase II, and evaluate it using a simulation study. Our method shares information across patient cohorts. Simulations show it is more efficient than analysing the cohorts separately. Using the design in PePS2 with 60 patients to test the treatment in six coho作者: 開(kāi)始沒(méi)有 時(shí)間: 2025-3-25 11:43 作者: humectant 時(shí)間: 2025-3-25 17:08 作者: 顛簸地移動(dòng) 時(shí)間: 2025-3-25 20:40
A Bayesian Nonparametric Model for Integrative Clustering of Omics Datao datasets from the Cancer Genome Atlas project of glioblastoma multiforme, which contains clinical and biological data about cancer patients with extremely poor prognosis of survival. By combining all available information we are able to be better identify clinically meaningful subtypes of glioblas作者: FLASK 時(shí)間: 2025-3-26 03:36 作者: 考博 時(shí)間: 2025-3-26 07:04
A Phase II Clinical Trial Design for Associated Co-primary Efficacy and Toxicity Outcomes with Basel novel refinement appropriate for use in phase II, and evaluate it using a simulation study. Our method shares information across patient cohorts. Simulations show it is more efficient than analysing the cohorts separately. Using the design in PePS2 with 60 patients to test the treatment in six coho作者: mortuary 時(shí)間: 2025-3-26 08:41 作者: 上腭 時(shí)間: 2025-3-26 13:23 作者: neutrophils 時(shí)間: 2025-3-26 18:38 作者: 過(guò)份艷麗 時(shí)間: 2025-3-27 00:21
Mireille Hildebrandt,Bernhard Anrign are?available. In this paper, we propose as novel approach for modelling count data in an open population?where individuals can arrive and depart from the site during the sampling period. A Bayesian nonparametric prior, known as Polya Tree, is used for modelling the bivariate density of arrival an作者: GUILE 時(shí)間: 2025-3-27 01:34 作者: Commentary 時(shí)間: 2025-3-27 08:56 作者: indigenous 時(shí)間: 2025-3-27 12:05 作者: nascent 時(shí)間: 2025-3-27 13:41
Mark N. Gasson,Eleni Kosta,Diana M. Bowmanwhich test data on?an observable is realised, subsequent to the learning of the functional relationship between these variables. We present a novel Bayesian method to deal with such a problem, in which we learn the system function of a stationary dynamical system, for which only test data on a vecto作者: BRIBE 時(shí)間: 2025-3-27 18:29 作者: Recessive 時(shí)間: 2025-3-28 01:34 作者: MAL 時(shí)間: 2025-3-28 04:41 作者: 猛然一拉 時(shí)間: 2025-3-28 07:44
Robert Yarchoan,Hiroaki Mitsuyam walk Metropolis is widely used to conduct such sampling, but such a method can converge slowly for medium dimension problems, or when the joint structure of the distributions to sample is complex. We propose a Metropolis–Hastings (MH) algorithm based on a multidimensional Gaussian proposal that ta作者: GRIN 時(shí)間: 2025-3-28 13:01
Robert Yarchoan,Hiroaki Mitsuya through the factorisation of the joint probability distribution of the underlying variables.?When fitting an ABN model, the choice of the prior for the parameters is of crucial importance. If an inadequate prior—like a not sufficiently informative one—is used, data separation and data sparsity may 作者: 是比賽 時(shí)間: 2025-3-28 17:32
Marcin Nowotny,Ma?gorzata Figielhe?mechanisms underlying cancer but few of them are computationally efficient and able to estimate the number of subtypes. We have developed a Bayesian nonparametric model for combined data integration and clustering called BayesCluster, which aims to identify cancer subtypes and addresses many of t作者: 文字 時(shí)間: 2025-3-28 22:42
Robert Yarchoan,Hiroaki Mitsuyarait (phenotype). Considerable effort has been devoted to analyses including interactions between these different sources, such as gene-environment interactions. To measure the phenotype, usually, a questionnaire is presented to monozygotic (MZ) and dizygotic (DZ) twins and the resulting sum-scores 作者: LINES 時(shí)間: 2025-3-28 23:17 作者: mitten 時(shí)間: 2025-3-29 06:48 作者: legacy 時(shí)間: 2025-3-29 10:27
Monal R. Shroff,Eduardo Villamort to develop?methods that provide a more complete temporal?description of these markers, e.g. in between?clinical appointments. To this end, we combine?a mathematical model and a Bayesian methodology to estimate trajectories from a set of observed values. Also, we construct a variation band containi作者: 大看臺(tái) 時(shí)間: 2025-3-29 14:03 作者: inhumane 時(shí)間: 2025-3-29 15:35 作者: 讓步 時(shí)間: 2025-3-29 19:55
978-3-030-30613-7Springer Nature Switzerland AG 2019作者: 出處 時(shí)間: 2025-3-30 01:31
2194-1009 cs in neuroscience, astrostatistics and climate change.Provi.This book presents a selection of peer-reviewed contributions to the fourth Bayesian Young Statisticians Meeting, BAYSM 2018, held at the University of Warwick on 2-3 July 2018. The meeting provided a valuable opportunity for young researc作者: 確定方向 時(shí)間: 2025-3-30 07:51 作者: sclera 時(shí)間: 2025-3-30 11:33 作者: 極端的正確性 時(shí)間: 2025-3-30 16:08 作者: antecedence 時(shí)間: 2025-3-30 17:35
Simulation Study of HIV Temporal Patterns Using Bayesian Methodologye?a mathematical model and a Bayesian methodology to estimate trajectories from a set of observed values. Also, we construct a variation band containing the most central trajectories for one patient, by exploring the range of values in the a posteriori distributions. The methods are illustrated with simulated data.作者: cumber 時(shí)間: 2025-3-30 22:12
Conference proceedings 2019of Warwick on 2-3 July 2018. The meeting provided a valuable opportunity for young researchers, MSc students, PhD students, and postdocs interested in Bayesian statistics to connect with the broader Bayesian community. The proceedings offer cutting-edge papers on a wide range of topics in Bayesian s作者: maverick 時(shí)間: 2025-3-31 01:39
Mark S. Nixon,Tieniu Tan,Rama Chellappa over the geometry of the trajectories. Unfortunately inference is no longer straightforward and so we introduce an approximation based on the method of successive approximations and examine its performance using a simulation study.作者: 包裹 時(shí)間: 2025-3-31 07:44
