Παρακολούθηση
Jaya Bishwal
Jaya Bishwal
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα uncc.edu
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Parameter estimation in stochastic differential equations
JPN Bishwal
Springer, 2007
3612007
Minimum contrast estimation in fractional Ornstein-Uhlenbeck process: Continuous and discrete sampling
JPN Bishwal
Fractional Calculus and Applied Analysis 14, 375-410, 2011
352011
Sequential maximum likelihood estimation for reflected Ornstein–Uhlenbeck processes
C Lee, JPN Bishwal, MH Lee
Journal of Statistical Planning and Inference 142 (5), 1234-1242, 2012
312012
Rates of convergence of approximate maximum likelihood estimators in the Ornstein-Uhlenbeck process
JPN Bishwal, A Bose
Computers & Mathematics with Applications 42 (1-2), 23-38, 2001
302001
Sharp Berry-Esseen bound for the maximum likelihood estimator in the Ornstein-Uhlenbeck process
JPN Bishwal
Sankhyā: The Indian Journal of Statistics, Series A, 1-10, 2000
302000
Parameter estimation in stochastic volatility models
JPN Bishwal
Springer Nature, 2022
262022
Estimation in interacting diffusions: Continuous and discrete sampling
JPN Bishwal
Applied Mathematics 2 (9), 1154-1158, 2011
252011
Rates of convergence of the posterior distributions and the Bayes estimations in the Ornstein-Uhlenbeck process
JPN Bishwal
Walter de Gruyter, Berlin/New York 8 (1), 51-70, 2000
242000
Large deviations in testing fractional Ornstein–Uhlenbeck models
JPN Bishwal
Statistics & probability letters 78 (8), 953-962, 2008
232008
Bayes and sequential estimation in Hilbert space valued stochastic differential equations
JPN Bishwal
Journal of the Korean Statistical Society 28 (1), 93-106, 1999
211999
The Bernstein-von Mises theorem and spectral asymptotics of Bayes estimators for parabolic SPDEs
JPN Bishwal
Journal of the Australian Mathematical Society 72 (2), 287-298, 2002
192002
Approximate maximum likelihood estimation for diffusion processes from discrete observations
MN Mishra, JPN Bishwal
Stochastics: An International Journal of Probability and Stochastic …, 1995
191995
Rates of weak convergence of approximate minimum contrast estimators for the discretely observed Ornstein–Uhlenbeck process
JPN Bishwal
Statistics & probability letters 76 (13), 1397-1409, 2006
172006
Large deviations inequalities for the maximum likelihood estimator and the Bayes estimators in nonlinear stochastic differential equations
JPN Bishwal
Statistics & probability letters 43 (2), 207-215, 1999
171999
Maximum quasi-likelihood estimation in fractional Levy stochastic volatility model
JPN Bishwal
Journal of Mathematical Finance 1 (3), 58, 2011
162011
A new estimating function for discretely sampled diffusions
JPN Bishwal
Walter de Gruyter 15 (1), 65-88, 2007
152007
Uniform rate of weak convergence of the minimum contrast estimator in the Ornstein–Uhlenbeck process
JPN Bishwal
Methodology and Computing in Applied Probability 12, 323-334, 2010
142010
Speed of convergence of the maximum likelihood estimator in the Ornstein-Uhlenbeck process
JPN Bishwal, A Bose
Calcutta Statistical Association Bulletin 45 (3-4), 245-252, 1995
131995
Maximum likelihood estimation in partially observed stochastic differential system driven by a fractional Brownian motion
JPN Bishwal
Taylor & Francis Group 21 (5), 995-1007, 2003
112003
Accuracy of normal approximation for the maximum likelihood estimator and Bayes estimators in the Ornstein–Uhlenbeck process using random normings
JPN Bishwal
Statistics & probability letters 52 (4), 427-439, 2001
102001
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