Zobrazeno 1 - 10
of 465
pro vyhledávání: '"Lok, James"'
Normalizing flows are objects used for modeling complicated probability density functions, and have attracted considerable interest in recent years. Many flexible families of normalizing flows have been developed. However, the focus to date has large
Externí odkaz:
http://arxiv.org/abs/2301.06404
Recent years have seen an increased interest in the application of methods and techniques commonly associated with machine learning and artificial intelligence to spatial statistics. Here, in a celebration of the ten-year anniversary of the journal S
Externí odkaz:
http://arxiv.org/abs/2201.09485
The explosion in the sheer magnitude and complexity of financial news data in recent years makes it increasingly challenging for investment analysts to extract valuable insights and perform analysis. We propose FactCheck in finance, a web-based news
Externí odkaz:
http://arxiv.org/abs/2106.15221
Bayesian hierarchical mixture clustering (BHMC) improves traditionalBayesian hierarchical clustering by replacing conventional Gaussian-to-Gaussian kernels with a Hierarchical Dirichlet Process Mixture Model(HDPMM) for parent-to-child diffusion in th
Externí odkaz:
http://arxiv.org/abs/2105.06903
Autor:
Eric L. Ding, Andrea B. Feigl, Kathleen T. Watson, Tin Lok James Ng, Leila Makerechi, Nancy Bui, Amal Ireifij, Rami Farraj, Daniel E. Zoughbie
Publikováno v:
PLOS Global Public Health, Vol 4, Iss 3 (2024)
Externí odkaz:
https://doaj.org/article/1593a3e0119f4590bee49d7b8b056361
Corporate mergers and acquisitions (M&A) account for billions of dollars of investment globally every year, and offer an interesting and challenging domain for artificial intelligence. However, in these highly sensitive domains, it is crucial to not
Externí odkaz:
http://arxiv.org/abs/2010.12512
Autor:
Ng, Tin Lok James
The von Mises-Fisher distribution is one of the most widely used probability distributions to describe directional data. Finite mixtures of von Mises-Fisher distributions have found numerous applications. However, the likelihood function for the fini
Externí odkaz:
http://arxiv.org/abs/2009.02921
Non-homogeneous Poisson processes are used in a wide range of scientific disciplines, ranging from the environmental sciences to the health sciences. Often, the central object of interest in a point process is the underlying intensity function. Here,
Externí odkaz:
http://arxiv.org/abs/2007.00248
Autor:
Ng, Tin Lok James, Kwong, Kwok-Kun
It is well known that any continuous probability density function on $\mathbb{R}^m$ can be approximated arbitrarily well by a finite mixture of normal distributions, provided that the number of mixture components is sufficiently large. The von-Mises-
Externí odkaz:
http://arxiv.org/abs/2004.06328
Publikováno v:
In Clinics in Liver Disease November 2023 27(4):857-876