Zobrazeno 1 - 10
of 121
pro vyhledávání: '"Xue, Yishu"'
We propose a multidimensional tensor clustering approach for studying how professional basketball players' shooting patterns vary over court locations and game time. Unlike most existing methods that only study continuous-valued tensors or have to as
Externí odkaz:
http://arxiv.org/abs/2205.09918
Although basketball is a dynamic process sport, with 5 plus 5 players competing on both offense and defense simultaneously, learning some static information is predominant for professional players, coaches and team mangers. In order to have a deep un
Externí odkaz:
http://arxiv.org/abs/2012.06715
In this paper, we propose a Susceptible-Infected-Removal (SIR) model with time fused coefficients. In particular, our proposed model discovers the underlying time homogeneity pattern for the SIR model's transmission rate and removal rate via Bayesian
Externí odkaz:
http://arxiv.org/abs/2008.04284
The geographically weighted regression (GWR) is a well-known statistical approach to explore spatial non-stationarity of the regression relationship in spatial data analysis. In this paper, we discuss a Bayesian recourse of GWR. Bayesian variable sel
Externí odkaz:
http://arxiv.org/abs/2007.02222
In this paper, we develop a group learning approach to analyze the underlying heterogeneity structure of shot selection among professional basketball players in the NBA. We propose a mixture of finite mixtures (MFM) model to capture the heterogeneity
Externí odkaz:
http://arxiv.org/abs/2006.07513
In regional economics research, a problem of interest is to detect similarities between regions, and estimate their shared coefficients in economics models. In this article, we propose a mixture of finite mixtures (MFM) clustered regression model wit
Externí odkaz:
http://arxiv.org/abs/2004.12022
An income distribution describes how an entity's total wealth is distributed amongst its population. A problem of interest to regional economics researchers is to understand the spatial homogeneity of income distributions among different regions. In
Externí odkaz:
http://arxiv.org/abs/2002.06663
The accelerated failure time (AFT) model is a commonly used tool in analyzing survival data. In public health studies, data is often collected from medical service providers in different locations. Survival rates from different locations often presen
Externí odkaz:
http://arxiv.org/abs/2002.03251
Bayesian spatial modeling of heavy-tailed distributions has become increasingly popular in various areas of science in recent decades. We propose a Weibull regression model with spatial random effects for analyzing extreme economic loss. Model estima
Externí odkaz:
http://arxiv.org/abs/1912.03603
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