標題: Titlebook: Continuous Time Modeling in the Behavioral and Related Sciences; Kees van Montfort,Johan H. L. Oud,Manuel C. Voelkl Book 2018 Springer Int [打印本頁] 作者: calcification 時間: 2025-3-21 17:08
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書目名稱Continuous Time Modeling in the Behavioral and Related Sciences影響因子(影響力)學科排名
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書目名稱Continuous Time Modeling in the Behavioral and Related Sciences網(wǎng)絡公開度學科排名
書目名稱Continuous Time Modeling in the Behavioral and Related Sciences被引頻次
書目名稱Continuous Time Modeling in the Behavioral and Related Sciences被引頻次學科排名
書目名稱Continuous Time Modeling in the Behavioral and Related Sciences年度引用
書目名稱Continuous Time Modeling in the Behavioral and Related Sciences年度引用學科排名
書目名稱Continuous Time Modeling in the Behavioral and Related Sciences讀者反饋
書目名稱Continuous Time Modeling in the Behavioral and Related Sciences讀者反饋學科排名
作者: Arb853 時間: 2025-3-21 21:05 作者: flamboyant 時間: 2025-3-22 03:49 作者: 人類學家 時間: 2025-3-22 06:30
Continuous Time Modelling Based on an Exact Discrete Time Representation,estimation of the exact discrete time model, alternative time domain (state space) and frequency domain approaches are also discussed. Computational issues are explored, and two new empirical applications are included along with a discussion of applications in the field of macroeconometric modelling.作者: BOLT 時間: 2025-3-22 10:48 作者: 混雜人 時間: 2025-3-22 14:57
Die ungleiche Verteilung des Glücks the combination of a weighted difference between long-term expectations and daily ratings as well as daily ratings between partners in the dyad. To verify the correct specification, we used simulated models using the LSDE SAS/IML package developed by Singer.作者: 混雜人 時間: 2025-3-22 19:04
Peter Atteslander,Hans-Ulrich Kneubühlerails of the continuous time state space methodology and review the similarities and the differences between the continuous time and discrete time approaches. An application in the modelling of road traffic data is presented in order to illustrate the relevance of continuous time state space modelling in practice.作者: addition 時間: 2025-3-22 23:36 作者: SUE 時間: 2025-3-23 05:25
Book 2018els for processes that are in fact evolving in continuous time produces problems that make their application in practice highly questionable. One main issue is the dependence of discrete time parameter estimates on the chosen time interval, which leads to incomparability of results across different 作者: Accede 時間: 2025-3-23 08:24 作者: 孤僻 時間: 2025-3-23 12:47
https://doi.org/10.1007/978-3-322-88551-7is procedure will be applied to the well-known Wolfer sunspot data, an .?=?1 time series that has been analyzed by several continuous time analysts in the past. The analysis will be carried out by ctsem, an R-package for continuous time modeling that interfaces to OpenMx, and the results will be compared to those reported in the previous studies.作者: 蚊帳 時間: 2025-3-23 14:18 作者: 凝乳 時間: 2025-3-23 20:38 作者: Confess 時間: 2025-3-23 22:52
Peter Atteslander,Hans-Ulrich Kneubühleration implicitly imposes a particular form of time-to-build to the continuous time representation. Our approach suggests that the recent literature on continuous time models with delays should help to bridge the gap between continuous and discrete time representations in economic dynamics.作者: tenuous 時間: 2025-3-24 04:51 作者: 思想流動 時間: 2025-3-24 07:03 作者: Petechiae 時間: 2025-3-24 11:11 作者: 枯萎將要 時間: 2025-3-24 17:14 作者: exophthalmos 時間: 2025-3-24 20:08 作者: 天氣 時間: 2025-3-25 00:27
Continuous Time State Space Modelling with an Application to High-Frequency Road Traffic Data,ails of the continuous time state space methodology and review the similarities and the differences between the continuous time and discrete time approaches. An application in the modelling of road traffic data is presented in order to illustrate the relevance of continuous time state space modelling in practice.作者: 北京人起源 時間: 2025-3-25 04:23
Implementation of Multivariate Continuous-Time ARMA Models,be observed at irregular non-synchronous discrete time points. The computational approach for calculating the likelihood is based on a state-space form and the Kalman filter. Interpretation of the CARMA models is discussed. The computational algorithms have been implemented in R packages. Examples of a simulated and real data are shown.作者: maverick 時間: 2025-3-25 07:57
Klaus Walther,Frank Thom?,Wulf Schwanh?u?er, treatments where the effect may reverse in direction over time, treatments that change a trend, assessing mediation in treatment effects and examining individual differences in treatment effects, duration and shape and correlates of such individual differences.作者: 陳腐的人 時間: 2025-3-25 12:42 作者: 水土 時間: 2025-3-25 18:01
https://doi.org/10.1007/978-3-322-88551-7tinuous-time (CT) first-order vector autoregressive (VAR(1)) model—and (b) argue for and illustrate the potential of this model for the study of psychological processes using intensive longitudinal data. We begin by describing what the CT-VAR(1) model is and how it relates to the more commonly used 作者: colloquial 時間: 2025-3-25 22:39 作者: Palate 時間: 2025-3-26 03:33
Klaus Walther,Frank Thom?,Wulf Schwanh?u?erple respond faster or stronger than others? Is the treatment more effective in the long run for those that respond quickly? We describe a continuous time dynamic modelling approach for addressing such questions, with discussion and example code for simple impulse effects, persistent changes in level作者: Allergic 時間: 2025-3-26 07:31
Die ungleiche Verteilung des Glücksollaboration, between the individuals in such contexts can be represented by social networks. Like individual outcomes (e.g., behavior or performance), the social relations between individuals are not static. Social networks and individual outcomes change over time and can mutually affect each other作者: Glower 時間: 2025-3-26 11:28
Die ungleiche Verteilung des Glücks. The theoretical model is based on work by Felmlee and Greenberg (J Math Soc 23(3):155–180, 1999), which specifies that change in affect results from the combination of a weighted difference between long-term expectations and daily ratings as well as daily ratings between partners in the dyad. To v作者: 縮減了 時間: 2025-3-26 15:19
Die ungleiche Verteilung des Glücks 43 and 56. Religiosity is measured as church attendance and Christian belief such that three measures are followed up over three time points. Analyses by structural equation modelling in discrete time and continuous time are compared. According to both methods, church attendance has the strongest a作者: 沒有希望 時間: 2025-3-26 17:28 作者: opportune 時間: 2025-3-27 00:51
Zur Wohnungslage in beiden deutschen Staatenuman dynamic processes with self-organizing features comprise subprocesses that unfold across multiple time scales. Incorporating time-varying parameters (TVPs) into a dynamic model of choice provides one way of representing self-organization as well as multi-time scale processes. Extant application作者: endoscopy 時間: 2025-3-27 01:45 作者: 聽寫 時間: 2025-3-27 05:47 作者: TERRA 時間: 2025-3-27 09:27 作者: 集中營 時間: 2025-3-27 17:21 作者: Anticlimax 時間: 2025-3-27 20:38
Verl??liche Informationssystemeechniques involved with the derivation of an exact discrete time representation of an underlying continuous time model, providing specific details for a second-order linear system of stochastic differential equations. Issues of parameter identification, Granger causality, nonstationarity and mixed f作者: 排出 時間: 2025-3-28 00:34 作者: 小口啜飲 時間: 2025-3-28 04:32 作者: myriad 時間: 2025-3-28 08:16 作者: 伸展 時間: 2025-3-28 14:11
978-3-030-08401-1Springer International Publishing AG, part of Springer Nature 2018作者: 預兆好 時間: 2025-3-28 14:45
Kees van Montfort,Johan H. L. Oud,Manuel C. VoelklThis is the first and only book on continuous time modeling in the behavioral and related sciences.Introduces Newtonian dynamics modeling by means of differential equations for behavioral and related 作者: voluble 時間: 2025-3-28 19:21
http://image.papertrans.cn/c/image/237024.jpg作者: 背書 時間: 2025-3-28 23:05
First- and Higher-Order Continuous Time Models for Arbitrary , Using SEM,irst-order as well as higher-order models will be dealt with. Both will be handled by the general state space approach which reformulates higher-order models as first-order models. In addition to the basic model, the extensions of exogenous variables and traits (random intercepts) will be introduced作者: AVANT 時間: 2025-3-29 03:41 作者: Ergots 時間: 2025-3-29 07:33 作者: Aprope 時間: 2025-3-29 11:37
Understanding the Time Course of Interventions with Continuous Time Dynamic Models,ple respond faster or stronger than others? Is the treatment more effective in the long run for those that respond quickly? We describe a continuous time dynamic modelling approach for addressing such questions, with discussion and example code for simple impulse effects, persistent changes in level作者: 悶熱 時間: 2025-3-29 18:10 作者: 憤憤不平 時間: 2025-3-29 23:04
Uses and Limitation of Continuous-Time Models to Examine Dyadic Interactions,. The theoretical model is based on work by Felmlee and Greenberg (J Math Soc 23(3):155–180, 1999), which specifies that change in affect results from the combination of a weighted difference between long-term expectations and daily ratings as well as daily ratings between partners in the dyad. To v作者: 注視 時間: 2025-3-30 02:00
Makes Religion Happy or Makes Happiness Religious? An Analysis of a Three-Wave Panel Using and Comp 43 and 56. Religiosity is measured as church attendance and Christian belief such that three measures are followed up over three time points. Analyses by structural equation modelling in discrete time and continuous time are compared. According to both methods, church attendance has the strongest a作者: 殖民地 時間: 2025-3-30 08:07 作者: 不感興趣 時間: 2025-3-30 11:18
Stochastic Differential Equation Models with Time-Varying Parameters,uman dynamic processes with self-organizing features comprise subprocesses that unfold across multiple time scales. Incorporating time-varying parameters (TVPs) into a dynamic model of choice provides one way of representing self-organization as well as multi-time scale processes. Extant application作者: Rebate 時間: 2025-3-30 16:26 作者: Slit-Lamp 時間: 2025-3-30 18:25
Recursive Partitioning in Continuous Time Analysis,rrelations cannot be made. Machine learning-inspired approaches have been gaining momentum in modeling such “big” data because they offer a systematic approach to searching for potential interrelationships among variables. In practice, researchers may often start with a small model strongly guided b作者: 后天習得 時間: 2025-3-30 22:03
Continuous versus Discrete Time Modeling in Growth and Business Cycle Theory,he basic Solow and Ramsey models of growth and the business cycle toward the issue of equilibrium indeterminacy and endogenous cycles. In this paper, we introduce some of those relevant issues in economic dynamics. First, we describe a baseline continuous versus discrete time modeling setting releva作者: 展覽 時間: 2025-3-31 04:32
Continuous Time State Space Modelling with an Application to High-Frequency Road Traffic Data,e models is that time gaps between consecutive observations in a time series are allowed to vary throughout the process. We discuss some essential details of the continuous time state space methodology and review the similarities and the differences between the continuous time and discrete time appr作者: 上漲 時間: 2025-3-31 06:19 作者: anniversary 時間: 2025-3-31 10:57
Implementation of Multivariate Continuous-Time ARMA Models,utational implementation of a stationary normal multivariate CARMA model is illustrated. A review of a parametric setup is shown. Data are assumed to be observed at irregular non-synchronous discrete time points. The computational approach for calculating the likelihood is based on a state-space for
