Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Pan Shenyi"'
Autor:
Pan Shenyi, Joe Harry
Publikováno v:
Dependence Modeling, Vol 12, Iss 1, Pp 45-63 (2024)
Vine pair-copula constructions exist for a mix of continuous and ordinal variables. In some steps, this can involve estimating a bivariate copula for a pair of mixed continuous-ordinal variables. To assess the adequacy of copula fits for such a pair,
Externí odkaz:
https://doaj.org/article/ad2c8558d98c40fab5b7ee688ba1d1e5
Autor:
Pan, Shenyi, Joe, Harry
Vine pair-copula constructions exist for a mix of continuous and ordinal variables. In some steps, this can involve estimating a bivariate copula for a pair of mixed continuous-ordinal variables. To assess the adequacy of copula fits for such a pair,
Externí odkaz:
http://arxiv.org/abs/2310.08020
Autor:
Eyawo, Oghenowede, Ugoji, Uchechukwu Chidiebere, Pan, Shenyi, Oyibo, Patrick, Rehman, Amtull, Mahboob, Mishel, Esimai, Olapeju Adefunke
Publikováno v:
In Vaccine 3 October 2024 42(23)
Autor:
Pan, Shenyi, Joe, Harry
In statistics, time-to-event analysis methods traditionally focus on the estimation of hazards. In recent years, machine learning methods have been proposed to directly predict the event times. We propose a method based on vine copula models to make
Externí odkaz:
http://arxiv.org/abs/2111.07179
While general object detection has seen tremendous progress, localization of elliptical objects has received little attention in the literature. Our motivating application is the detection of knots in sawn timber images, which is an important problem
Externí odkaz:
http://arxiv.org/abs/2011.04844
Understanding the dependence relationship of credit spreads of corporate bonds is important for risk management. Vine copula models with tail dependence are used to analyze a credit spread dataset of Chinese corporate bonds, understand the dependence
Externí odkaz:
http://arxiv.org/abs/2008.05606
Publikováno v:
In Journal of Magnetism and Magnetic Materials 1 December 2023 587
Handwriting of Chinese has long been an important skill in East Asia. However, automatic generation of handwritten Chinese characters poses a great challenge due to the large number of characters. Various machine learning techniques have been used to
Externí odkaz:
http://arxiv.org/abs/1801.08624
Autor:
Pan, Shenyi, Joe, Harry
Publikováno v:
In Computational Statistics and Data Analysis November 2022 175
In this paper we develop a generalized likelihood ratio scan method (GLRSM) for multiple change-points inference in piecewise stationary time series, which estimates the number and positions of change-points and provides a confidence interval for eac
Externí odkaz:
http://arxiv.org/abs/1703.00647