標(biāo)題: Titlebook: Developments in Statistical Modelling; Jochen Einbeck,Hyeyoung Maeng,Konstantinos Perraki Conference proceedings 2024 The Editor(s) (if ap [打印本頁] 作者: 動詞 時間: 2025-3-21 19:53
書目名稱Developments in Statistical Modelling影響因子(影響力)
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書目名稱Developments in Statistical Modelling網(wǎng)絡(luò)公開度
書目名稱Developments in Statistical Modelling網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Developments in Statistical Modelling被引頻次
書目名稱Developments in Statistical Modelling被引頻次學(xué)科排名
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書目名稱Developments in Statistical Modelling年度引用學(xué)科排名
書目名稱Developments in Statistical Modelling讀者反饋
書目名稱Developments in Statistical Modelling讀者反饋學(xué)科排名
作者: Hypopnea 時間: 2025-3-22 00:01 作者: HEPA-filter 時間: 2025-3-22 00:54
Jochen Einbeck,Hyeyoung Maeng,Konstantinos PerrakiProvides a snapshot of the current developments in statistical modelling.Covers a wide range of topics and applications, particularly from biostatistics.Brings together researchers and practitioners w作者: 心胸開闊 時間: 2025-3-22 08:30 作者: 謙卑 時間: 2025-3-22 08:50 作者: 鞏固 時間: 2025-3-22 16:07
,Shrinkage in?a?Bayesian Panel Data Model with?Time-Varying Coefficients,n approach with priors that allow shrinkage to constant and zero effects as well as to simpler dependence structures. The model is evaluated in a simulation study and applied to the analysis of yearly earnings of mothers in Austria who returned to the labour market after maternity leave.作者: 鞏固 時間: 2025-3-22 20:03
to a mixed model; in the new model it is shown that a more direct method can be used keeping the sparse structure of P-splines. The method is illustrated with a two-dimensional example using the R-package . on CRAN. We will show that for this example . is several orders of magnitude faster than othe作者: 身體萌芽 時間: 2025-3-22 23:35
Bayesian method, referred to as the ordinal structural expectation maximization (OSEM) method. Both methods assume that the ordinal variables originate from Gaussian variables, which can only be observed in discretized form, and that the dependencies in the unobserved latent Gaussian space can be de作者: grenade 時間: 2025-3-23 04:43
access to data from community engagement activities and social media content. However, novel analytic methods are required to process and analyse data in unstructured formats (e.g. transcripts, text and images) and to extract useful information for decision-making. This paper proposes an analytics 作者: blithe 時間: 2025-3-23 08:56 作者: CORD 時間: 2025-3-23 10:59
ons under idealized conditions) as effectiveness trials (larger trials with heterogeneous populations) are often based on limited evidence from the efficacy trial itself. However, supplementary evidence may be available on how (past) effectiveness trials with similar outcomes tend to perform. This w作者: sundowning 時間: 2025-3-23 15:20
T Cell Proliferation and Differentiation,es in the unit-level SAE field: the identification of individual covariates and the reduction of computational burden. We propose a unit-level Simplified SAE model based on Generalized Additive Models for Location, Scale and Shape (GAMLSS), which is specified without covariates and is able to reduce作者: Lacunar-Stroke 時間: 2025-3-23 21:04
Recent Results in Cancer Researched to estimate the area under the receiver operating characteristic curve in this context. However, the proposed estimator has shown an optimistic behaviour. Thus, the goal of this work is to analyze the performance of replicate weights methods to correct for the optimism of the AUC in the context o作者: 駭人 時間: 2025-3-23 23:44
Mark Wunderlich,James C. Mulloyt of the first M postoperative days, that the patient has been discharged from hospital, or zero if the patient dies within M days of surgery. This composite measure presents statistical challenges in its unusual distributional shape, and its inability to distinguish between the qualitatively differ作者: Instinctive 時間: 2025-3-24 04:11 作者: 熱情贊揚(yáng) 時間: 2025-3-24 10:07 作者: Neonatal 時間: 2025-3-24 12:31
significant challenges for data in that country, such as data delays and the absence of negative test results. By employing a probabilistic classifier, our approach offers precise, adaptable estimates across various demographic characteristics and regions of the country without the need for predefi作者: Mechanics 時間: 2025-3-24 15:14 作者: 脆弱帶來 時間: 2025-3-24 22:45
ently, the . approach suggests to regress out the spatial effect in the covariate first, before estimating the model of interest. Drastic spatial confounding is observed in gradient boosting due to its step-wise procedure. In this contribution we apply the suggested two-step approach and confirm its作者: 包裹 時間: 2025-3-25 03:07
https://doi.org/10.1007/978-3-7091-4178-6an implementation of an adaptive variant of the generalized lasso penalty for logistic regression using conic programming principles. This approach is flexible, robust, and fast, especially in a high-dimensional setting. The methodology is applied to sports data, with the aim of ranking soccer playe作者: 概觀 時間: 2025-3-25 06:17 作者: geriatrician 時間: 2025-3-25 10:42
n approach with priors that allow shrinkage to constant and zero effects as well as to simpler dependence structures. The model is evaluated in a simulation study and applied to the analysis of yearly earnings of mothers in Austria who returned to the labour market after maternity leave.作者: 遍及 時間: 2025-3-25 11:38 作者: mighty 時間: 2025-3-25 15:56 作者: Blood-Vessels 時間: 2025-3-25 23:41 作者: musicologist 時間: 2025-3-26 01:36
978-3-031-65725-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: JOT 時間: 2025-3-26 04:40 作者: ICLE 時間: 2025-3-26 12:06 作者: evasive 時間: 2025-3-26 14:01 作者: 吵鬧 時間: 2025-3-26 19:39 作者: MINT 時間: 2025-3-26 21:39
,Derivatives of?the?Log of?a?Determinant,We present an efficient way to calculate effective model dimensions, using automated differentiation of the Cholesky algorithm. The method is illustrated with two examples using P-splines: adaptive smoothing and smoothing of over-dispersed counts.作者: Mobile 時間: 2025-3-27 01:36
,REML for?Two-Dimensional P-Splines,to a mixed model; in the new model it is shown that a more direct method can be used keeping the sparse structure of P-splines. The method is illustrated with a two-dimensional example using the R-package . on CRAN. We will show that for this example . is several orders of magnitude faster than othe作者: 傻 時間: 2025-3-27 09:03
,Learning Bayesian Networks from?Ordinal Data - The Bayesian Way,Bayesian method, referred to as the ordinal structural expectation maximization (OSEM) method. Both methods assume that the ordinal variables originate from Gaussian variables, which can only be observed in discretized form, and that the dependencies in the unobserved latent Gaussian space can be de作者: CLASP 時間: 2025-3-27 09:26 作者: 出來 時間: 2025-3-27 16:16
,Bayesian Approaches to?Model Overdispersion in?Spatio-Temporal Binomial Data,iables. This proposal incorporates a spatial term similar to the spatial lag of the response variable for each time unit within the linear predictor. These models effectively capture both spatial and temporal correlations inherent in the dataset under study. Furthermore, we introduce temporally vary作者: 單純 時間: 2025-3-27 19:18 作者: 悠然 時間: 2025-3-28 00:41
,Addressing Covariate Lack in?Unit-Level Small Area Models Using GAMLSS,es in the unit-level SAE field: the identification of individual covariates and the reduction of computational burden. We propose a unit-level Simplified SAE model based on Generalized Additive Models for Location, Scale and Shape (GAMLSS), which is specified without covariates and is able to reduce作者: 謙虛的人 時間: 2025-3-28 03:56
,Optimism Correction of?the?AUC with?Complex Survey Data,ed to estimate the area under the receiver operating characteristic curve in this context. However, the proposed estimator has shown an optimistic behaviour. Thus, the goal of this work is to analyze the performance of replicate weights methods to correct for the optimism of the AUC in the context o作者: Nibble 時間: 2025-3-28 06:56
,Statistical Models for?Patient-Centered Outcomes in?Clinical Studies,t of the first M postoperative days, that the patient has been discharged from hospital, or zero if the patient dies within M days of surgery. This composite measure presents statistical challenges in its unusual distributional shape, and its inability to distinguish between the qualitatively differ作者: 炸壞 時間: 2025-3-28 13:23
,Bayesian Hidden Markov Models for?Early Warning,umes that every binary response variable depends only on the latent state further to the lagged covariates and response. A Markov chain Monte Carlo algorithm is proposed for estimation and forecasting, where the latter is based on the optimisation of the F-score. An application referred to banking c作者: Lineage 時間: 2025-3-28 15:48
,A Bayesian Markov-Switching for?Smooth Modelling of?Extreme Value Distributions,gime-switching is controlled by an unobservable Markovian process. Model flexibility can be enhanced considering regime-specific distributions, whose distributional parameters may be modelled using smooth functions of covariates. Here, we propose a two-state Markov-switching model using full Bayesia作者: ATRIA 時間: 2025-3-28 19:20 作者: 杠桿 時間: 2025-3-29 02:06 作者: Modify 時間: 2025-3-29 05:58
,Spatial Confounding in?Gradient Boosting,ently, the . approach suggests to regress out the spatial effect in the covariate first, before estimating the model of interest. Drastic spatial confounding is observed in gradient boosting due to its step-wise procedure. In this contribution we apply the suggested two-step approach and confirm its作者: Recess 時間: 2025-3-29 08:14
,Adaptive Generalized Logistic Lasso and?Its Application to?Rankings in?Sports,an implementation of an adaptive variant of the generalized lasso penalty for logistic regression using conic programming principles. This approach is flexible, robust, and fast, especially in a high-dimensional setting. The methodology is applied to sports data, with the aim of ranking soccer playe作者: 改良 時間: 2025-3-29 11:54
,A Biclustering Approach via?Mixture of?Latent Trait Analyzers for?the?Analysis of?Digital Divide indetail, units (individuals) are partitioned into clusters (components) via a finite mixture of latent trait models; in each component, variables (digital skills) are partitioned into clusters (segments) by modifying the linear predictor’s specification of the original MLTA model. This allows us to i作者: 水土 時間: 2025-3-29 19:02 作者: alcoholism 時間: 2025-3-29 20:02
,Integrating Single Index Effects in?Generalized Additive Models,propose a novel approach to integrate single index effects in Generalised Additive Models (GAMs). In particular, model fitting and inference are performed by exploiting the efficient methods proposed in [.]. We consider an application to daily electricity load consumption data, demonstrating improve作者: 笨拙的你 時間: 2025-3-30 03:22 作者: Muffle 時間: 2025-3-30 07:14
,Addressing Covariate Lack in?Unit-Level Small Area Models Using GAMLSS, variability in comparison with the direct estimator. The performance of the proposed model used to estimate the Theil index is evaluated based on design-based simulations. An application to the Italian Regions, distinguish between Urban, Peri-Urban and Rural areas, conclude the paper.作者: Control-Group 時間: 2025-3-30 10:33 作者: 兩棲動物 時間: 2025-3-30 14:25 作者: DEVIL 時間: 2025-3-30 16:39 作者: Stress-Fracture 時間: 2025-3-30 23:32 作者: REP 時間: 2025-3-31 01:56
https://doi.org/10.1007/978-3-663-15878-3e usefulness of our proposals, we apply them to the analysis of low birth weight in Georgia, providing a comparative analysis of the performance of our models to that of the commonly used Knorr-Held’s models.作者: ablate 時間: 2025-3-31 05:22 作者: 谷物 時間: 2025-3-31 10:09
,Bayesian Approaches to?Model Overdispersion in?Spatio-Temporal Binomial Data,e usefulness of our proposals, we apply them to the analysis of low birth weight in Georgia, providing a comparative analysis of the performance of our models to that of the commonly used Knorr-Held’s models.作者: ENNUI 時間: 2025-3-31 15:35
Conference proceedings 2024atistical Modelling, IWSM 2024, held from 14 to 19 July 2024 in Durham, UK. The contributions cover a wide range of topics in statistical modelling, including generalized linear models, mixture models, regularization techniques, hidden Markov models, smoothing methods, censoring and imputation techn作者: deviate 時間: 2025-3-31 17:56
1431-1968 iostatistics.Brings together researchers and practitioners w.This volume on the latest developments in statistical modelling is a collection of refereed papers presented at the 38th International Workshop on Statistical Modelling, IWSM 2024, held from 14 to 19 July 2024 in Durham, UK. The contributi作者: MUTE 時間: 2025-4-1 00:12 作者: 記憶 時間: 2025-4-1 05:00 作者: 托運(yùn) 時間: 2025-4-1 07:35 作者: 弄皺 時間: 2025-4-1 11:32
P. A. Meyer,C. Kleinschnitz,F. Gieselergorithm is proposed for estimation and forecasting, where the latter is based on the optimisation of the F-score. An application referred to banking crisis of countries based on an unbalanced panel dataset is used as an illustration.作者: Mendacious 時間: 2025-4-1 15:21 作者: adulterant 時間: 2025-4-1 22:05
