標(biāo)題: Titlebook: Bayesian Statistics in Action; BAYSM 2016, Florence Raffaele Argiento,Ettore Lanzarone,Alessandra Matt Conference proceedings 2017 Springer [打印本頁(yè)] 作者: 老鼠系領(lǐng)帶 時(shí)間: 2025-3-21 18:08
書(shū)目名稱(chēng)Bayesian Statistics in Action影響因子(影響力)
書(shū)目名稱(chēng)Bayesian Statistics in Action影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Bayesian Statistics in Action網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Bayesian Statistics in Action網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Bayesian Statistics in Action被引頻次
書(shū)目名稱(chēng)Bayesian Statistics in Action被引頻次學(xué)科排名
書(shū)目名稱(chēng)Bayesian Statistics in Action年度引用
書(shū)目名稱(chēng)Bayesian Statistics in Action年度引用學(xué)科排名
書(shū)目名稱(chēng)Bayesian Statistics in Action讀者反饋
書(shū)目名稱(chēng)Bayesian Statistics in Action讀者反饋學(xué)科排名
作者: 發(fā)展 時(shí)間: 2025-3-22 00:08
Raffaele Argiento,Ettore Lanzarone,Alessandra MattOffers contributions presented by young Bayesian statisticians.Presents a selection of innovative contributions.Faithful community following the conference editions.Includes supplementary material: 作者: 引水渠 時(shí)間: 2025-3-22 02:55
Springer Proceedings in Mathematics & Statisticshttp://image.papertrans.cn/b/image/181884.jpg作者: Gleason-score 時(shí)間: 2025-3-22 06:24 作者: terazosin 時(shí)間: 2025-3-22 12:36
978-3-319-85312-3Springer International Publishing AG 2017作者: 赦免 時(shí)間: 2025-3-22 14:01
Increasing IQ in the United States,d on new data in order to perform inferential process on-line. In such situations, the use of posterior distribution as the prior distribution in the new application of the Bayes’ theorem is sensible. However, the analytic form of the posterior distribution is not always available and we only have a作者: 財(cái)產(chǎn) 時(shí)間: 2025-3-22 20:42 作者: Forsake 時(shí)間: 2025-3-23 00:46
Tareq Ahram,Redha Taiar,Arnaud Choplinlternative modelling approach allows financial observations to take integer values that are multiples of a fixed quantity, the ticksize - the monetary value associated with a single change during the price evolution. In the case of high-frequency data, the sample exhibits diverse trading operations 作者: Militia 時(shí)間: 2025-3-23 03:39
Human Interaction and Emerging Technologieslowed for ethical reasons. Because the switching is a prognosis-related choice, identification and estimation of the effect of the actual receipt of the treatment becomes problematic. Existing methods in the literature try to reconstruct the ideal situation that would be observed if the switchers ha作者: Ganglion-Cyst 時(shí)間: 2025-3-23 08:12 作者: aspersion 時(shí)間: 2025-3-23 11:39
Principles for Intelligent Decision Aidingthe entries of the parameter vector are some fixed values. For instance, the traditional . signal is a particular case (with one level) of multilevel sparse sequences. We apply an empirical Bayesian approach, namely we put an appropriate prior modeling the multilevel sparsity and make data-dependent作者: Aggrandize 時(shí)間: 2025-3-23 14:41 作者: 無(wú)政府主義者 時(shí)間: 2025-3-23 21:22 作者: 殺人 時(shí)間: 2025-3-24 01:11 作者: Pillory 時(shí)間: 2025-3-24 03:10 作者: ineluctable 時(shí)間: 2025-3-24 09:58
Tareq Ahram,Redha Taiar,Kamiar Aminianvariate normal distribution is a common choice for the random error term in an SUR model, the multivariate .-distribution is also popular for robustness considerations. However, the multivariate .-distribution is elliptical which leads to the limitation that the degrees of freedom of its marginal di作者: 名字的誤用 時(shí)間: 2025-3-24 12:40
Chao Yin Wu,Hsiao Rong Huang,Mao Jiun Wangloping practical algorithms is the computation of the likelihood. We address this problem through the use of a fast method to track the probability density function of the stochastic differential equation. The method applies quadrature to the Chapman–Kolmogorov equation associated with a temporal di作者: endoscopy 時(shí)間: 2025-3-24 17:30 作者: Perigee 時(shí)間: 2025-3-24 19:11 作者: PLE 時(shí)間: 2025-3-24 23:19 作者: 小步舞 時(shí)間: 2025-3-25 03:33
https://doi.org/10.1007/978-3-030-74009-2e evaluated a new plant variety for resistance and tolerance to a specific virus through a comparison with other well-known varieties. The study is based on two independent Bayesian accelerated failure time models which assess resistance and tolerance survival times. Information concerning plant gen作者: 不真 時(shí)間: 2025-3-25 10:23
Tej Samani,Ana Isabel Canhoto,Esin Yorukngs. Following Li, Mattei and Mealli [.], we adopt a probabilistic formulation of the assignment mechanism underling RD designs and we select suitable subpopulations around the cutoff point on the basis of observed covariates using both randomization tests and a Bayesian model-based approach both ac作者: 言行自由 時(shí)間: 2025-3-25 14:05 作者: ARBOR 時(shí)間: 2025-3-25 15:51
A Bayesian Joint Dispersion Model with Flexible Linksthe CD4 counts’ stability on the survival. The proposed framework outperforms the traditional joint models, highlighting the importance in correctly taking account the individual heterogeneity for the measurement errors variance.作者: 節(jié)省 時(shí)間: 2025-3-25 21:05 作者: 獨(dú)輪車(chē) 時(shí)間: 2025-3-26 03:45 作者: 你敢命令 時(shí)間: 2025-3-26 07:22
A Bayesian Nonparametric Approach to Ecological Risk Assessmentture is consistent with the fact that SSD practitioners do not usually have a strong prior belief on the number of components. In this short paper, we illustrate the advantage of the nonparametric SSD over the classical normal SSD and a kernel density estimate SSD on several real datasets. We summar作者: 史前 時(shí)間: 2025-3-26 12:11 作者: 殺死 時(shí)間: 2025-3-26 14:21 作者: GLUT 時(shí)間: 2025-3-26 17:42 作者: 飲料 時(shí)間: 2025-3-26 23:55
Abderrafiaa Koukam,Jean-Claude Tarbyrade-offs involved when applying localization to PF algorithms in the high-dimensional setting. Experiments with the Lorenz96 model demonstrate the ability of the local EnKPF algorithms to perform well even with a small number of particles compared to the problem size.作者: BROOK 時(shí)間: 2025-3-27 04:41
Tareq Ahram,Redha Taiar,Kamiar Aminiana-dialysis complications. The likelihood function is obtained through a discretized version of a multi-compartment model, where the discretization is in terms of a Runge–Kutta method to guarantee the convergence, and the posterior densities of model parameters are obtained through Markov Chain Monte作者: 外星人 時(shí)間: 2025-3-27 05:41 作者: 兇猛 時(shí)間: 2025-3-27 11:55 作者: exquisite 時(shí)間: 2025-3-27 13:44 作者: 禍害隱伏 時(shí)間: 2025-3-27 20:18
Increasing IQ in the United States, in terms of both time and resources. This work uses the dynamic characteristics of sequential Monte Carlo methods for “static” setups in the framework of longitudinal modelling scenarios. We used this methodology in real data through a random intercept model.作者: 財(cái)產(chǎn) 時(shí)間: 2025-3-28 01:23
Evolution and Increasing Intelligence,ability for the truncation error. Second, following [.], we study a moment-matching criterion which consists in evaluating a measure of discrepancy between actual moments of the CRM and moments based on the simulation output. To this end, we show that the moments of this class of processes can be obtained analytically.作者: Wallow 時(shí)間: 2025-3-28 03:22 作者: 裝飾 時(shí)間: 2025-3-28 08:09 作者: judiciousness 時(shí)間: 2025-3-28 11:25 作者: Aura231 時(shí)間: 2025-3-28 15:03 作者: 熒光 時(shí)間: 2025-3-28 21:33 作者: chance 時(shí)間: 2025-3-29 02:25 作者: conformity 時(shí)間: 2025-3-29 06:16 作者: 多樣 時(shí)間: 2025-3-29 11:09
Conference proceedings 2017 to connect with the Bayesian community at large, to exchange ideas, and to network with others working in the same field. The contributions develop and apply Bayesian methods in a variety of fields, ranging from the traditional (e.g., biostatistics and reliability) to the most innovative ones (e.g., big data and networks)..作者: 染色體 時(shí)間: 2025-3-29 13:06
https://doi.org/10.1007/978-3-030-74009-2otype and virus biotype were considered as baseline covariates and error terms were assumed to follow a modified standard Gumbel distribution. Frequentist approach to these models was also considered in order to compare the results of the study from both statistical methodologies.作者: habile 時(shí)間: 2025-3-29 19:31 作者: larder 時(shí)間: 2025-3-29 21:59 作者: implore 時(shí)間: 2025-3-30 01:54
Human Interaction with Complex Systems. In this paper, we propose to suppress these issues by extending the Bayesian update by a sort of likelihood tempering, moderating the impact of observed data to inference. The method is compared to the generic dynamic model averaging and to an alternative solution via sequential quasi-Bayesian mixture modeling.作者: 致命 時(shí)間: 2025-3-30 06:04 作者: 閃光你我 時(shí)間: 2025-3-30 10:33
Chao Yin Wu,Hsiao Rong Huang,Mao Jiun Wangime, multiple time series, or observations with large and/or irregular temporal spacing. Computational tests show that the resulting Metropolis algorithm is capable of efficient inference for an electrical oscillator model.作者: 配偶 時(shí)間: 2025-3-30 12:52 作者: 自傳 時(shí)間: 2025-3-30 19:02
On the Study of Two Models for Integer-Valued High-Frequency Data likelihoods: the Skellam distribution - defined as the difference between two independent Poisson distributions - or a mixture of Geometric distributions. Posterior inference is obtained via adaptive Gibbs sampling algorithms. Comparisons of the models applied to high-frequency financial data is provided.作者: inquisitive 時(shí)間: 2025-3-30 21:58
Local Posterior Concentration Rate for Multilevel Sparse Sequenceson results. Global adaptive minimax results (for the estimation and posterior contraction problems) over sparsity classes follow from our local results if the sparsity level is of polynomial order. The results are illustrated by simulations.作者: acrobat 時(shí)間: 2025-3-31 02:06
Likelihood Tempering in Dynamic Model Averaging. In this paper, we propose to suppress these issues by extending the Bayesian update by a sort of likelihood tempering, moderating the impact of observed data to inference. The method is compared to the generic dynamic model averaging and to an alternative solution via sequential quasi-Bayesian mixture modeling.作者: 終端 時(shí)間: 2025-3-31 07:41
Linear Inverse Problem with Range Prior on Correlations and Its Variational Bayes Inferenceunder the prior knowledge on range of their ratios. Since we aim at high dimensional problems, we use the Variational Bayes inference procedure to derive approximate inference of the model. The method is illustrated and compared on a simple example and on more realistic 6?h long release of mixture of 3 radionuclides.作者: 悶熱 時(shí)間: 2025-3-31 12:31 作者: Encumber 時(shí)間: 2025-3-31 15:44
Randomization Inference and Bayesian Inference in Regression Discontinuity Designs: An Application td a variable equal to one for students who realize at least one University Credit (CFU), using both the Fisher-exact P-value approach and a model-based Bayesian approach. In both cases we account for the multivariate nature of the outcome by (a) proposing a multiple testing approach, and (b) defining estimands on the joint outcome.
