نتایج جستجو برای: event history modeling

تعداد نتایج: 916711  

2017
K. Hazel Kwon Jeff Hemsley

This study examines the role of online social network proximity in cross-national diffusion of offline protests. Drawn upon Valente’s (1995) network diffusion model, the study operationalizes social network proximity-based protest exposure, using the international Facebook friendship share data. One year-long onsite protests during Arab Spring 2011 are examined using event history modeling. The...

1993
Panos J. Antsaklis Michael D. Lemmon James A. Stiver Michael Lemmon

Hybrid control systems contain two distinct types of systems, continuous state and discrete-state, that interact with each other. Their study is essential in designing sequential supervisory controllers for continuous-state systems, and it is central in designing control systems with high degree of autonomy. After an introduction to intelligent autonomous control and its relation to hybrid cont...

2017
Bradley W. Davis Mark A. Gooden Alex J. Bowers

1 Utilizing rich data on nearly 11,000 educators over 17 academic years in a highly diverse context, we examine the career paths of teachers to determine whether and when they transition into the principalship. We utilize a variety of event history analyses, including discrete-time hazard modeling, to determine how an individual’s race, gender, and their combination among other characteristics ...

Journal: :Journal of South American Earth Sciences 2021

First low-temperature thermochronology data across the central Patagonia and thermal modeling provide information on history of intraplate San Bernardo fold thrust belt (44–46 °S). Apatite (U–Th-Sm)/He (AHe), fission tracks (AFT) ages inverse indicate that sedimentary rocks presently at surface southwestern FTB have experienced a broadly similar history: i) cooling deposition time during Cretac...

2011
Bostjan Kaluza Gal A. Kaminka Milind Tambe

This paper addresses the problem of detecting suspicious behavior from a collection of individuals events, where no single event is enough to decide whether his/her behavior is suspicious, but the combination of multiple events enables reasoning. We establish a Bayesian framework for evaluating multiple events and show that the current approaches lack modeling behavior history included in the e...

2011

A manifesto is a "public declaration of principles and intentions" by a group of people. This manifesto is written by members and supporters of the IEEE Task Force on Process Mining. The goal of this task force is to promote the research, development, education, implementation, evolution, and understanding of process mining. Process mining is a relatively young research discipline that sits bet...

2012
Willy K. Wojsznis Terrence L. Blevins John Caldwell Peter W. Wojsznis Mark J. Nixon

This paper outlines intelligent PID design for DCS. The design includes a PID algorithm with diverse standard options and algorithm extensions for wireless/event-driven control and for surge control. The core of the PID intelligence is adaptive process modeling based on model switching and parameter interpolation. The developed process model is applied to loop tuning, adaptive control, loop per...

بهروز نبئی, , سهیلا دبیران, , مهتاب مقصودلو, ,

Introduction: For the time being we have considered that the myocardial infarction is an increasing event in Islamic Republic of Iran and there are many procedures and methods which can help us to diminish the number of death from this ongoing event. The main aim of this research is to determine the survival rate in those patients who have had acute myocardial infarction and the association of ...

2011

A manifesto is a "public declaration of principles and intentions" by a group of people. This manifesto is written by members and supporters of the IEEE Task Force on Process Mining. The goal of this task force is to promote the research, development, education, implementation, evolution, and understanding of process mining. Process mining is a relatively young research discipline that sits bet...

2011
Duy Quang Vu Arthur U. Asuncion David R. Hunter Padhraic Smyth

The development of statistical models for continuous-time longitudinal network data is of increasing interest in machine learning and social science. Leveraging ideas from survival and event history analysis, we introduce a continuous-time regression modeling framework for network event data that can incorporate both time-dependent network statistics and time-varying regression coefficients. We...

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