Publication Search Results
Exact matches for:
- Author = Marchev D [web profile page]
1.
Fitzpatrick M, Marchev D
Matthew Fitzpatrick and Dobrin Marchev:
Efficient Bayesian estimation of the multivariate Double Chain Markov Model,
Statistics and Computing,
23
(2013),
no. 4,
467–480.
2.
Rosner B, Peiris MS, Chan JSK, Marchev D
Rosner, B., Peiris, S., Chan, J., Marchev, D.:
MATH1015: Biostatistics,
Third Edition,
Cengage Learning,
Australia,
(2013),
296.
ISBN 978-0170257916.
3.
Marchev D
Dobrin Marchev:
Markov chain Monte Carlo Algorithms for the Bayesian Logistic Regression Model,
Proceedings of the Annual international conference on Operations Research and Statistics,
Annual International Conference on Operations Research and Statistics,
Prof. C. B. Gupta (ed.),
Global Science and Technology forum,
Singapore,
(2011),
154–159.
ISBN 978-981-08-8407-9.
4.
Rosner B, Peiris MS, Chan JSK, Marchev D
Bernard Rosner, Shelton Peiris, Jennifer Chan, Dobrin Marchev:
Descriptive Statistics,
MATH 1015: Biostatistics,
CENGAGE Learning,
Australia,
(2011),
272.
ISBN 978-0170213349.
5.
Barmi HE, Marchev D
Hammou El Barmi, Dobrin Marchev:
New and improved estimators of distribution functions under second-order stochastic dominance,
Journal of Nonparametric Statistics,
21
(2009),
no. 2,
143–153.
6.
Marchev D, Hobert JP
Dobrin Marchev, James P. Hobert:
Exact sampling from the Student's t model,
Advances and Applications in Statistics,
13
(2009),
no. 2,
165–179.
7.
Hobert JP, Marchev D
James P. Hobert, Dobrin Marchev:
A theoretical comparison of the data augmentation, marginal augmentation and PX-DA algorithms,
The Annals of Statistics,
36
(2008),
no. 2,
532–554.
8.
Hobert JP, Marchev D, Schweinsberg J
James P. Hobert, Dobrin Marchev, Jason Schweinsberg:
Stability of the tail Markov chain and the evaluation of improper priors for an exponential rate parameter,
Bernoulli,
10
(2004),
no. 3,
549–564.
9.
Marchev D, Hobert JP
Dobrin Marchev, James P. Hobert:
Geometric ergodicity of van Dyk and Meng's algorithm for the multivariate Student's t model,
Journal of the American Statistical Association,
99
(2004),
no. 465,
228–238.
| Number of matches: 9 |