A New Class of Time Dependent Latent Factor Models with Applications
نویسندگان
چکیده
Sinead A. Williamson Departments of Statistics and Data Science/Information, Risk and Operations Management, University of Texas at Austin, Austin, TX 78757, [email protected] Michael Zhang Department of Statistics and Data Science, University of Texas at Austin, Austin, TX 78757, michael [email protected] Paul Damien Department of Information, Risk and Operations Management, University of Texas at Austin, Austin, TX 78757, [email protected]
منابع مشابه
An application of Measurement error evaluation using latent class analysis
Latent class analysis (LCA) is a method of evaluating non sampling errors, especially measurement error in categorical data. Biemer (2011) introduced four latent class modeling approaches: probability model parameterization, log linear model, modified path model, and graphical model using path diagrams. These models are interchangeable. Latent class probability models express l...
متن کاملThe new implicit finite difference scheme for two-sided space-time fractional partial differential equation
Fractional order partial differential equations are generalizations of classical partial differential equations. Increasingly, these models are used in applications such as fluid flow, finance and others. In this paper we examine some practical numerical methods to solve a class of initial- boundary value fractional partial differential equations with variable coefficients on a finite domain. S...
متن کاملSpatial Latent Gaussian Models: Application to House Prices Data in Tehran City
Latent Gaussian models are flexible models that are applied in several statistical applications. When posterior marginals or full conditional distributions in hierarchical Bayesian inference from these models are not available in closed form, Markov chain Monte Carlo methods are implemented. The component dependence of the latent field usually causes increase in computational time and divergenc...
متن کاملکاربرد مدل کلاس پنهان بیز در تعیین ارزش تشخیصی SPECT و MRI مغز جهت تشخیص حس بویایی بعد از تروما بدون حضور استاندارد طلایی
Abstract Introduction: The sense of smell gives unexplainable quality to human life. The impairment In this sense will create lot of problems. MRI and SPECT are two way of olfactory evaluation that none of the both is not Gold standard. Bayesian latent class model is the correct way to determine the diagnostic value of these tests. Methods: MRI and SPECT tests performed on 63 patients e...
متن کاملشناسایی نوع و مدل وسیله نقلیه با استفاده از مجموعه بخشهای متمایزکننده
In fine-grained recognition, the main category of object is well known and the goal is to determine the subcategory or fine-grained category. Vehicle make and model recognition (VMMR) is a fine-grained classification problem. It includes several challenges like the large number of classes, substantial inner-class and small inter-class distance. VMMR can be utilized when license plate numbers ca...
متن کامل