標題: Titlebook: Case Studies in Bayesian Statistics; Volume V Constantine Gatsonis,Robert E. Kass,Mike West Conference proceedings 2002 Springer Science+Bu [打印本頁] 作者: 鳴叫大步走 時間: 2025-3-21 17:26
書目名稱Case Studies in Bayesian Statistics影響因子(影響力)
書目名稱Case Studies in Bayesian Statistics影響因子(影響力)學科排名
書目名稱Case Studies in Bayesian Statistics網絡公開度
書目名稱Case Studies in Bayesian Statistics網絡公開度學科排名
書目名稱Case Studies in Bayesian Statistics被引頻次
書目名稱Case Studies in Bayesian Statistics被引頻次學科排名
書目名稱Case Studies in Bayesian Statistics年度引用
書目名稱Case Studies in Bayesian Statistics年度引用學科排名
書目名稱Case Studies in Bayesian Statistics讀者反饋
書目名稱Case Studies in Bayesian Statistics讀者反饋學科排名
作者: 共同生活 時間: 2025-3-21 22:15 作者: Overstate 時間: 2025-3-22 03:58 作者: Functional 時間: 2025-3-22 04:48 作者: Aggregate 時間: 2025-3-22 09:44 作者: ESPY 時間: 2025-3-22 14:21 作者: ESPY 時間: 2025-3-22 17:39
Estimating Genotype Probabilities in Complex Pedigreescomplete Markov chain Monte Carlo (MCMC) methods, such as the Gibbs sampler, can be used to sample genotypes at the marker and trait loci. The Markov chain that corresponds to the scalar Gibbs sampler may not work due to slow mixing. Further, the Gibbs chain may not be irreducible when sampling geno作者: Banister 時間: 2025-3-23 01:07
Identifying Carriers of a Genetic Modifier Using Nonparametric Bayesian Methodsch carry the . allele of the . gene, an allele which results in the development of intestinal tumors. Offspring from this cross are genotyped for . and tumor counts are recorded. It is assumed that offspring carrying only . have tumor counts distributed according to .., while offspring having both .作者: Affectation 時間: 2025-3-23 01:40 作者: 性別 時間: 2025-3-23 07:47 作者: GUILT 時間: 2025-3-23 13:21 作者: Gyrate 時間: 2025-3-23 16:37
Hidden Markov Models for Analysis of Biological Rhythm Datasinor approaches sufficiently account for the net result of periodic secretion and an appropriate elimination mechanism. This pa-per discusses methods for data analysis that achieve improved modeling. The underlying biological rhythm for a group of subjects is modeled as periodically varying transit作者: set598 時間: 2025-3-23 20:10 作者: 撫育 時間: 2025-3-24 00:20 作者: 保存 時間: 2025-3-24 03:01
Conference proceedings 2002an Imperfect Randomized Experiment J. Barnard, C. Frangakis, J. Hill, and D. Rubin report on the analysis of the data from a randomized study conducted to evaluate the New YorkSchool Choice Scholarship Pro- gram. The focus ofthe paper is on Bayesian methods for addressing the analytic challenges pos作者: Onerous 時間: 2025-3-24 08:21
School Choice in NY City: A Bayesian Analysis of an Imperfect Randomized Experimentplemented) and the rigorous data collection and compliance-encouraging efforts. In fact, this study benefits from the authors’ previous experiences with the analysis of data from the Milwaukee Parental Choice Program, which, although randomized, was relatively poorly implemented as an experiment..At作者: FAZE 時間: 2025-3-24 12:59 作者: progestogen 時間: 2025-3-24 18:22 作者: GROWL 時間: 2025-3-24 19:15 作者: 壯觀的游行 時間: 2025-3-25 00:22
Bayesian Protein Structure Predictionion based on non-local sequence interactions. We demonstrate this idea by presenting a simple model for .-strand pairing and a Markov chain Monte Carlo (MCMC) algorithm for inference. We apply the approach to prediction of 3-dimensional contacts for two example proteins.作者: 左右連貫 時間: 2025-3-25 07:02
https://doi.org/10.1007/978-1-4020-9716-4plemented) and the rigorous data collection and compliance-encouraging efforts. In fact, this study benefits from the authors’ previous experiences with the analysis of data from the Milwaukee Parental Choice Program, which, although randomized, was relatively poorly implemented as an experiment..At作者: heterodox 時間: 2025-3-25 07:55
https://doi.org/10.1007/978-1-4020-9716-4 dose is sequential, in the following sense. As patients are treated, they are followed and their responses are communicated to a central database. Doses are assigned to subsequent patients so as to obtain maximal and rapid information about the dose-response curve. We impute missing final responses作者: 同來核對 時間: 2025-3-25 12:13
Integrated Prototypes Using Averaging,sumptions. Because of the small numbers, sensitivity to prior distribution specifications was considerable, and we compared the effect of assuming independent prior distributions on each cell in the 3 × 2 factorial with that of using a more structured prior distribution incorporating exchangeable ro作者: ALE 時間: 2025-3-25 19:06
https://doi.org/10.1007/978-1-4020-9716-4se using order-restricted parameters with unknown change points. First, proper, seemingly noninformative prior distributions may overwhelm the likelihood (Gelman, 1996). Using a simple example, we demonstrate this problem and propose a solution. Second, we discuss problems with two straightforward M作者: 冬眠 時間: 2025-3-26 00:02
Value and Value Chains in Educationion based on non-local sequence interactions. We demonstrate this idea by presenting a simple model for .-strand pairing and a Markov chain Monte Carlo (MCMC) algorithm for inference. We apply the approach to prediction of 3-dimensional contacts for two example proteins.作者: 大包裹 時間: 2025-3-26 03:59
https://doi.org/10.1007/978-1-4020-9716-4lar topic of debate in recent years. Part of the difficulty in resolving this debate is the lack of solid empirical evidence regarding the true impact of educational initiatives. For example, educational researchers rarely are able to engage in controlled, randomized experiments. The efficacy of so-作者: 詢問 時間: 2025-3-26 05:31
https://doi.org/10.1007/978-1-4020-9716-4ment is random, usually with equal numbers of patients assigned to each dose. Based on the results of the trial, a decision is made to either enter phase III in the drug’s development, stop the drug’s development, or conduct another phase II trial. Such a design is inefficient, in terms of both time作者: Memorial 時間: 2025-3-26 08:46 作者: 搖曳的微光 時間: 2025-3-26 14:46
https://doi.org/10.1007/978-1-4020-9716-4for two counties in western Iowa. We consider estimation of distribution profiles of soil texture using a hierarchical model and data from the pilot project. Soil texture measurements are recorded for each horizon (or layer) of soil. Soil horizon profiles are modeled as realizations of Markov chains作者: bifurcate 時間: 2025-3-26 19:26 作者: Mammal 時間: 2025-3-26 21:02
https://doi.org/10.1007/978-1-4020-9716-4 prevalent and hip fractures are the most debilitating. BMD has been shown to predict fractures, and the rates of bone growth and loss with age have been identified as key determinants of osteoporosis in old age. To develop therapies for osteoporosis, we need to better understand the pattern of bone作者: offense 時間: 2025-3-27 01:42
https://doi.org/10.1007/978-1-4039-1446-0complete Markov chain Monte Carlo (MCMC) methods, such as the Gibbs sampler, can be used to sample genotypes at the marker and trait loci. The Markov chain that corresponds to the scalar Gibbs sampler may not work due to slow mixing. Further, the Gibbs chain may not be irreducible when sampling geno作者: 大包裹 時間: 2025-3-27 07:29 作者: obligation 時間: 2025-3-27 13:23 作者: 陶醉 時間: 2025-3-27 14:17 作者: 迫擊炮 時間: 2025-3-27 19:25
https://doi.org/10.1007/978-1-4302-0047-5ansforming the sensory inputs into Markov chains and then applies our new agglomerative clustering procedure to discover the most probable set of clusters describing the robot’s experiences. To increase efficiency, the method uses an entropy-based heuristic search strategy.作者: 清洗 時間: 2025-3-27 23:44 作者: 細胞 時間: 2025-3-28 04:09
https://doi.org/10.1007/978-1-4302-0047-5t the outcomes of the two trials from over 50 HIV clinicians. Their prior opinions are used here for design: the sample size for reaching consensus with high probability is calculated. Consensus is said to occur when all clinicians have posterior opinions which would lead to pre-scribing the same tr作者: Pessary 時間: 2025-3-28 10:16 作者: 抱狗不敢前 時間: 2025-3-28 13:27 作者: 佛刊 時間: 2025-3-28 17:11 作者: conifer 時間: 2025-3-28 20:38 作者: monochromatic 時間: 2025-3-28 23:06
https://doi.org/10.1007/978-1-4613-0035-9Markov model; Odds; bayesian statistics; hidden Markov model; modeling; randomized experiment; statistics作者: hankering 時間: 2025-3-29 04:05
978-0-387-95169-0Springer Science+Business Media New York 2002作者: 充氣女 時間: 2025-3-29 09:14 作者: 兇兆 時間: 2025-3-29 14:27
A Hierarchical Model for Estimating Distribution Profiles of Soil Textureormal errors. The posterior distribution of unknown model parameters is numerically approximated using a Gibbs sampler. The hierarchical model provides a comprehensive framework which may be useful for analyzing many other variables of interest in the pilot project.作者: Morphine 時間: 2025-3-29 19:28 作者: 搖擺 時間: 2025-3-29 21:18 作者: Ambiguous 時間: 2025-3-30 01:48 作者: nautical 時間: 2025-3-30 05:17 作者: 堅毅 時間: 2025-3-30 12:04 作者: esoteric 時間: 2025-3-30 13:39 作者: Sinus-Rhythm 時間: 2025-3-30 19:04
https://doi.org/10.1007/978-1-4039-1446-0 We discover inadequacies in the traditional regression model through use of our exploratory tools. More sophisticated models point the way toward judging the adequacy of a theory on the relationship between body weight and brain weight, and also bear on the timeless question “do we have big brains?”
