Search Results - "Neerchal, Nagaraj K."

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  1. 1

    Evaluation of dose-related effects of aspirin on platelet function : Results from the aspirin-induced platelet effect (ASPECT) study by GURBEL, Paul A, BLIDEN, Kevin P, DICHIARA, Joseph, NEWCOMER, Justin, WENG, Willy, NEERCHAL, Nagaraj K, GESHEFF, Tania, CHAGANTI, Srivasavi K, ETHERINGTON, Amena, TANTRY, Udaya S

    Published in Circulation (New York, N.Y.) (26-06-2007)
    “…The antiplatelet effect of aspirin is attributed to platelet cyclooxygenase-1 inhibition. Controversy exists on the prevalence of platelet resistance to…”
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    Journal Article
  2. 2

    Daily Precipitation Generation using a Hidden Markov Model with Correlated Emissions for the Potomac River Basin by Kroiz, Gerson C., Majumder, Reetam, Gobbert, Matthias K., Neerchal, Nagaraj K., Markert, Kel, Mehta, Amita

    “…A daily precipitation generator based on a hidden Markov model with Gaussian copulas (HMM‐GC) is constructed using remote sensing data from GPM‐IMERG for the…”
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  3. 3

    Predictive models of lameness in dairy cows achieve high sensitivity and specificity with force measurements in three dimensions by Dunthorn, Jason, Dyer, Robert M, Neerchal, Nagaraj K, McHenry, Jonathan S, Rajkondawar, Parimal G, Steingraber, Gary, Tasch, Uri

    Published in Journal of dairy research (01-11-2015)
    “…Lameness remains a significant cause of production losses, a growing welfare concern and may be a greater economic burden than clinical mastitis . A growing…”
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  4. 4

    An approximation to the information matrix of exponential family finite mixtures by Raim, Andrew M., Neerchal, Nagaraj K., Morel, Jorge G.

    “…A simple closed form of the Fisher information matrix (FIM) usually cannot be obtained under a finite mixture. Several authors have considered a block-diagonal…”
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  5. 5

    Parallelizing computation of expected values in recombinant binomial trees by Popuri, Sai K., Raim, Andrew M., Neerchal, Nagaraj K., Gobbert, Matthias K.

    “…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…”
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  6. 6

    Diversity in the magnitude of hind limb unloading occurs with similar forms of lameness in dairy cows by Liu, Jianbo, Dyer, Robert M, Neerchal, Nagaraj K, Tasch, Uri, Rajkondawar, Parimal G

    Published in Journal of dairy research (01-05-2011)
    “…The objective of the study was to evaluate the relationship of veterinary clinical assessments of lameness to probability estimates of lameness predicted from…”
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  7. 7

    Measuring early pre-symptomatic changes in locomotion of SOD1-G93A rats—A rodent model of amyotrophic lateral sclerosis by Tang, Wenlong, Tasch, Uri, Neerchal, Nagaraj K., Zhu, Liang, Yarowsky, Paul

    Published in Journal of neuroscience methods (30-01-2009)
    “…A locomotion analysis system for laboratory rats is presented. The system produces locomotion parameters (LPs) in 4 different domains: force, space, time and…”
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  8. 8

    Locomotion analysis of Sprague–Dawley rats before and after injecting 6-OHDA by Tang, Wenlong, McDowell, Kim, Limsam, Mark, Neerchal, Nagaraj K., Yarowsky, Paul, Tasch, Uri

    Published in Behavioural brain research (26-06-2010)
    “…The hypothesis that changes in measured ground reaction forces and time parameters during locomotion can noninvasively detect Parkinsonism in unilateral 6-OH…”
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  9. 9

    Gait analysis of locomotory impairment in rats before and after neuromuscular injury by Tang, Wenlong, Lovering, Richard M., Roche, Joseph A., Bloch, Robert J., Neerchal, Nagaraj K., Tasch, Uri

    Published in Journal of neuroscience methods (30-07-2009)
    “…We used a gait analysis system (GAS™) to measure the changes in locomotion parameters of adult Sprague–Dawley rats after neuromuscular injury, induced by…”
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  10. 10

    Maximum-likelihood estimation of the random-clumped multinomial model as a prototype problem for large-scale statistical computing by Raim, Andrew M., Gobbert, Matthias K., Neerchal, Nagaraj K., Morel, Jorge G.

    “…Numerical methods are needed to obtain maximum-likelihood estimates (MLEs) in many problems. Computation time can be an issue for some likelihoods even with…”
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  11. 11

    Sample Size Determination for Alternate Periods of Use Study Designs with Binary Responses by Morel, Jorge G., Neerchal, Nagaraj K.

    Published in Journal of biopharmaceutical statistics (01-03-2012)
    “…In this article, we consider several study designs that arise in practice, which are variations of standard crossover designs. Often, they may result from…”
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  12. 12

    Ratio estimation via Poisson regression and Generalized Estimating Equations by Morel, Jorge G., Neerchal, Nagaraj K.

    Published in Statistics & probability letters (01-10-2008)
    “…In this article, we show that ratio estimates, and their asymptotic variances can be correctly obtained from a Poisson regression with appropriately chosen…”
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  13. 13

    An improved method for the computation of maximum likeliood estimates for multinomial overdispersion models by Neerchal, Nagaraj K., Morel, Jorge G.

    Published in Computational statistics & data analysis (15-04-2005)
    “…In this article, we consider the maximum likelihood estimation of two commonly used overdispersion models, namely, the Dirichlet-multinomial distribution (DM),…”
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  14. 14

    A goodness-of-fit test for overdispersed binomial (or multinomial) models by Sutradhar, Santosh C., Neerchal, Nagaraj K., Morel, Jorge G.

    “…Overdispersion or extra variation is a common phenomenon that occurs when binomial (multinomial) data exhibit larger variances than that permitted by the…”
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    Optimal Stock Portfolio Selection with a Multivariate Hidden Markov Model by Majumder, Reetam, Ji, Qing, Neerchal, Nagaraj K.

    Published in Sankhyā. Series B (2008) (01-05-2023)
    “…The underlying market trends that drive stock price fluctuations are often referred to in terms of bull and bear markets. Optimal stock portfolio selection…”
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  17. 17

    Density estimation using entropy maximization for semi-continuous data by Popuri, Sai K., Neerchal, Nagaraj K., Mehta, Amita, Mousavi, Ahmad

    Published in Digital signal processing (01-09-2021)
    “…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…”
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  18. 18

    An Extension of Generalized Linear Models to Finite Mixture Outcome Distributions by Raim, Andrew M., Neerchal, Nagaraj K., Morel, Jorge G.

    “…Finite mixture distributions arise in sampling a heterogeneous population. Data drawn from such a population will exhibit extra variability relative to any…”
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  19. 19

    Large Cluster Results for Two Parametric Multinomial Extra Variation Models by Neerchal, Nagaraj K., Morel, Jorge G.

    “…Two parametric extra variation models are considered. Approximate closed-form expressions are given for the Fisher information matrices. The expressions are…”
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  20. 20

    A Modified Minibatch Sampling Method for Parameter Estimation in Hidden Markov Models using Stochastic Variational Bayes by Majumder, Reetam, Gobbert, Matthias K., Neerchal, Nagaraj K.

    “…Parameter estimation using stochastic variatonal Bayes (SVB) under a mean field assumption can be carried out by sampling a single data point at each iteration…”
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