Zobrazeno 1 - 10
of 140
pro vyhledávání: '"Ranganathan, Shyam"'
In data science, vector autoregression (VAR) models are popular in modeling multivariate time series in the environmental sciences and other applications. However, these models are computationally complex with the number of parameters scaling quadrat
Externí odkaz:
http://arxiv.org/abs/2209.08421
Analysis of online reviews has attracted great attention with broad applications. Often times, the textual reviews are coupled with the numerical ratings in the data. In this work, we propose a probabilistic model to accommodate both textual reviews
Externí odkaz:
http://arxiv.org/abs/2102.11048
Bayesian Auxiliary Variable Model for Birth Records Data with Qualitative and Quantitative Responses
Publikováno v:
Journal of Statisitcal Computation and Simulation. 2021 91(16), 3283-3303
Many applications involve data with qualitative and quantitative responses. When there is an association between the two responses, a joint model will provide improved results than modeling them separately. In this paper, we propose a Bayesian method
Externí odkaz:
http://arxiv.org/abs/2008.06525
Publikováno v:
In Science of the Total Environment 10 November 2023 898
Autor:
Bardhan, Mondira, Zhang, Kuiran, Browning, Matthew H.E.M., Dong, Jiaying, Liu, Tong, Bailey, Christopher, McAnirlin, Olivia, Hanley, Jared, Minson, Christopher T., Mutel, Robert L., Ranganathan, Shyam, Reuben, Aaron
Publikováno v:
In Journal of Environmental Psychology September 2023 90
Autor:
Ranganathan, Shyam1 shyamr@yorku.ca
Publikováno v:
Feminist Philosophy Quarterly. 2024, Vol. 10 Issue 1/2, p1-31. 32p.
Autor:
Ranganathan, Shyam
Non-linearities and dynamic interactions between state variables are characteristic of complex social systems and processes. In this thesis, we present a new methodology to model these non-linearities and interactions from the large panel datasets av
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-261289
Autor:
Wan, Heng, McLaughlin, Daniel, Shao, Yang, van Eerden, Brian, Ranganathan, Shyam, Deng, Xinwei
Publikováno v:
In Landscape and Urban Planning June 2021 210