Jaya P. N. Bishwal - Concepedia

Author

Jaya P. N. Bishwal

University of North Carolina at Charlotte ORCID

Also Known As

J. P. N. Bishwal, J.P.N. BISHWAL, J.P.N. Bishwal, JAYA P.N. BISHWAL, Jaya Bishwal, Jaya P. N Bishwal, Jaya P. N. Bishwal, Jaya P.N. Bishwal, Jaya P. N. Bishwal, Jaya Prakasah Narayan Bishwal

Publications

581

Citations

H-Index

Concepts

All Affiliations

University of North Carolina at Charlotte Indian Statistical Institute Sambalpur University

About

Jaya P. N. Bishwal is an author at University of North Carolina at Charlotte specializing in statistics, engineering, and estimation theory.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	11	14	237
2	Finance	2	2	23
3	Business	1	1	13
4	Data Science	1	1	13
5	Asset Pricing	1	1	13

Jaya P. N. Bishwal

Publications

237

Citations

H-Index

Page 1

	Year	Citations
Minimum contrast estimation in fractional Ornstein-Uhlenbeck process: Continuous and discrete sampling Jaya P. N. Bishwal Fractional Calculus and Applied Analysis Discrete SamplingStatistical Signal ProcessingEngineeringMinimum Contrast EstimationStochastic Analysis	2011	32
Sequential maximum likelihood estimation for reflected Ornstein–Uhlenbeck processes Chihoon Lee, Jaya P. N. Bishwal, Myung Hee Lee Journal of Statistical Planning and Inference Parameter EstimationEngineeringStochastic ProcessesOrnstein–uhlenbeck ProcessesStochastic Analysis	2011	29
Rates of convergence of approximate maximum likelihood estimators in the Ornstein-Uhlenbeck process Jaya P. N. Bishwal, Arup Bose Computers & Mathematics with Applications EngineeringOrnstein-uhlenbeck ProcessStatistical InferenceLevy ProcessStochastic Phenomenon	2001	26
Large deviations in testing fractional Ornstein–Uhlenbeck models Jaya P. N. Bishwal Statistics & Probability Letters Large DeviationsEngineeringStochastic AnalysisStochastic PhenomenonFractional Stochastics	2007	23
The Bernstein-von Mises theorem and spectral asymptotics of Bayes estimators for parabolic SPDEs Jaya P. N. Bishwal Journal of the Australian Mathematical Society Spectral TheoryEngineeringNormal DensityEntropyMarkov Kernel	2002	20
Rates of weak convergence of approximate minimum contrast estimators for the discretely observed Ornstein–Uhlenbeck process Jaya P. N. Bishwal Statistics & Probability Letters EngineeringStochastic ProcessesObserved Ornstein–uhlenbeck ProcessStochastic AnalysisStatistical Inference	2006	15
Rates of convergence of the posterior distributions and the Bayes estimations in the Ornstein-Uhlenbeck process Jaya P. N. Bishwal Random Operators and Stochastic Equations Bayesian StatisticsJournal Random OperatorsEngineeringBayes EstimationsStochastic System	2000	13
A new estimating function for discretely sampled diffusions Jaya P. N. Bishwal Random Operators and Stochastic Equations Hausdorff Moment ProblemDensity EstimationEngineeringData ScienceStochastic Processes	2007	13
Maximum Quasi-likelihood Estimation in Fractional Levy Stochastic Volatility Model Jaya P. N. Bishwal Journal of Mathematical Finance Volatility ModelingMultivariate Stochastic VolatilityIntegrated Exponential GarchAsset PricingMaximum Quasi-likelihood Estimation	2011	13
Uniform Rate of Weak Convergence of the Minimum Contrast Estimator in the Ornstein–Uhlenbeck Process Jaya P. N. Bishwal Methodology And Computing In Applied Probability Minimum Contrast EstimatorEngineeringStochastic CalculusStochastic AnalysisProbability Theory	2008	11

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