منابع مشابه
modeling loss data by phase-type distribution
بیمه گران همیشه بابت خسارات بیمه نامه های تحت پوشش خود نگران بوده و روش هایی را جستجو می کنند که بتوانند داده های خسارات گذشته را با هدف اتخاذ یک تصمیم بهینه مدل بندی نمایند. در این پژوهش توزیع های فیزتایپ در مدل بندی داده های خسارات معرفی شده که شامل استنباط آماری مربوطه و استفاده از الگوریتم em در برآورد پارامترهای توزیع است. در پایان امکان استفاده از این توزیع در مدل بندی داده های گروه بندی ...
Information Flow Prediction by Modeling Dynamic Probabilistic Social Network
In this paper, we propose a novel Behavioral Information Flow (BIF) model which can be used to predict how information is propagated through a complex social network. We consider both the dynamic and probabilistic characteristics of human behavior in receiving and redirecting information. Information can be duplicated without any distortion and send to as many people as the user has in his soci...
متن کاملDynamic prediction modeling approaches for cardiac surgery.
BACKGROUND The calibration of several cardiac clinical prediction models has deteriorated over time. We compare different model fitting approaches for in-hospital mortality after cardiac surgery that adjust for cross-sectional case mix in a heterogeneous patient population. METHODS AND RESULTS Data from >300 000 consecutive cardiac surgery procedures performed at all National Health Service a...
متن کاملPerformance Prediction Modeling of Axial-Flow Compressor by Flow Equations
Design models of multi- stage, axial flow compressor are developed for gas turbine engines. Axial flow compressor is one of the most important parts of gas turbine units. Therefore, its design and performance prediction are very important. One-dimensional modeling is a simple, fast and accurate method for performance prediction of any type of compressors with different geometries. In this appro...
متن کاملOpen problem: Dynamic Relational Models for Improved Hazardous Weather Prediction
We are developing dynamic relational knowledge discovery methods for use on mesoscale weather data. Severe weather phenomena such as tornados, thunderstorms, hail, and floods, annually cause significant loss of life, property destruction, and disruption of the transportation systems. The annual economic impact of these mesoscale storms is estimated to be greater than $13B (Pielke and Carbone, 2...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Circulation: Cardiovascular Quality and Outcomes
سال: 2016
ISSN: 1941-7713,1941-7705
DOI: 10.1161/circoutcomes.114.001645