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20162024
most citedOptimal Stock Portfolio Selection with a Multivariate Hidden Markov Model

4 citations · 5 across the 4 of their papers we have counts for

collaborators

5 papers

stat.ME2024★ 4 cited

Optimal Stock Portfolio Selection with a Multivariate Hidden Markov Model

Reetam Majumder, Qing Ji, Nagaraj K. Neerchal

The underlying market trends that drive stock price fluctuations are often referred to in terms of bull and bear markets. Optimal stock portfolio selection methods need to take int…

stat.AP2022

Stochastic Precipitation Generation for the Chesapeake Bay Watershed using Hidden Markov Models with Variational Bayes Parameter Estimation

Reetam Majumder, Nagaraj K. Neerchal, Amita Mehta

Stochastic precipitation generators (SPGs) are a class of statistical models which generate synthetic data that can simulate dry and wet rainfall stretches for long durations. Gene…

stat.ME2020

Density Estimation using Entropy Maximization for Semi-continuous Data

Sai K. Popuri, Nagaraj K. Neerchal, Amita Mehta +1

Semi-continuous data comes from a distribution that is a mixture of the point mass at zero and a continuous distribution with support on the positive real line. A clear example is…

stat.CO2017

Parallelizing Computation of Expected Values in Recombinant Binomial Trees

Sai K. Popuri, Andrew M. Raim, Nagaraj K. Neerchal +1

Recombinant binomial trees are binary trees where each non-leaf node has two child nodes, but adjacent parents share a common child node. Such trees arise in finance when pricing a…

stat.ME2016★ 1 cited

An Extension of Generalized Linear Models to Finite Mixture Outcome Distributions

Andrew M. Raim, Nagaraj K. Neerchal, Jorge G. Morel

Finite mixture distributions arise in sampling a heterogeneous population. Data drawn from such a population will exhibit extra variability relative to any single subpopulation. St…