Ph.D. in Statistics, Department of Statistics, The Hebrew University of Jerusalem, Israel, 2009
Research Interests
Decision theory, Stochastic ordering, Sequential methods, Group testing, and Nonparametric methods
Editorial Service
Associate Editor, The American Statistician, August 2017- Present
Associate Editor, Journal of Applied Statistics, February 2017- March 2019
Publications
Journal Articles
Malinovsky, Y. and Rinott, Y. On stochastic orders of absolute value of order statistics in symmetric distributions. Statistics and Probability Letters, 79, 2086-2091, 2009.
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Malinovsky, Y. and Rinott, Y. Prediction of ordered random effects in a simple small area model.
Statistica Sinica, 20, 697-714, 2010.
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Malinovsky, Y. and Rinott, Y. Best invariant and minimax estimation of quantiles in finite populations. Journal of Statistical Planning and Inference, 141(8), 2633-2644, 2011.
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Vexler, A., Tsai W., and Malinovsky Y. Estimation and testing based on data subject to measurement errors: from parametric to non-parametric likelihood methods.. Statistics in Medicine, 31, 2498-2512, 2012.
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Malinovsky, Y., Albert, P.S., and Schisterman, E.F. Pooling designs for outcomes under a Gaussian random effects model. Biometrics, 68, 45-52, 2012.
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Malinovsky, Y., and Kogan, J. Monitoring Threshold Functions over Distributed Data Streams with Node Dependent Constraints. Algorithms, 5, 379-397, 2012.
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Kagan, A.M., and Malinovsky, Y. Monotonicity in the Sample Size of the Length of Classical Confidence Intervals. Statistics and Probability Letters, 83, 78-82, 2013.
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Kagan, A.M., and Malinovsky, Y. On the Nile Problem by Sir Ronald Fisher. Electronic Journal of Statistics, 7, 1968-1982, 2013.
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Kagan, A.M., Malinovsky, Y., and Mattner, L. Partially Complete Sufficient Statistics are Jointly Complete. Theory of Probability and Its Applications, 59, 542-561, 2014.
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Malinovsky, Y., and Albert, P.S. A note on the minimax solution for the two-stage group testing problem. The American Statistician, 69, 45-52, 2015.
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Guha, N., Roy, A., Malinovsky, Y., Datta, G. An Optimal Shrinkage Factor in Prediction of Ordered Random Effects . Statistica Sinica, 26, 1709-1728, 2016.
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Malinovsky, Y., Albert, P.S., and Roy, A. Reader reaction: A note on the evaluation of group testing algorithms in the presence of misclassification. Biometrics, 72, 299-302, 2016.
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Kagan, A.M., and Malinovsky, Y. On the structure of UMVUEs . Sankhya A, 78, 124-132, 2016.
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Haber, G., Malinovsky, Y. Random walk designs for selecting pool sizes in group testing estimation
with small samples. Biometrical Journal, 59, 1382-1398, 2017.
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Haber, G., Malinovsky, Y., and Albert, P.S. Sequential estimation in the group testing problem.
Sequential Analysis, 37, 1-17, 2018.
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Malinovsky, Y. Sterrett procedure for the generalized group testing problem. Methodology and Computing in Applied Probability.
In press, 2018.
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Malinovsky, Y., and Zacks, S. Proportional closeness estimation of probability of contamination under group testing .
Sequential Analysis, 37, 145-157, 2018.
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Malinovsky, Y. On optimal policy in the group testing with incomplete identification.
Statistics and Probability Letters, 140, 44-47, 2018.
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Fay, M., and Malinovsky, Y. Confidence Intervals on the Mann-Whitney parameter that give unified inferences with the Wilcoxon-Mann-Whitney
test .
Statistics in Medicine, 37, 3991-4006, 2018.
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Haber, G., Malinovsky, Y. On the construction of unbiased estimators for the group testing problem.
Sankhya A. In Press, 2018.
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Malinovsky, Y., and Albert, P.S. Revisiting nested group testing procedures: new results, comparisons, and robustness. The American Statistician, 73, 117-125, 2019.
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Haber, G., Malinovsky, Y. Efficient methods for the estimation of the multinomial parameter for the two-trait group testing model.
Electronic Journal of Statistics. Accepted. 2019.
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Preprints
Malinovsky, Y. Follow Up on Detecting Deficiencies: An Optimal Group Testing.
Submitted for publication.
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Malinovsky, Y. Conjectures on Optimal Nested Generalized Group Testing Algorithm.
Submitted for publication.
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Malinovsky, Y., Albert, P. A note on optimal design for hierarchical generalized group testing.
Submitted for publication.
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Goldenshluger, A., Malinovsky, Y., and Zeevi, A. A unified approach for solving sequential selection problems.
Submitted for publication.
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Best, A., Malinovsky, Y., Albert, P. The efficient design of nested group testing algorithms
for disease identification in clustered data.
Submitted for publication.
De Santis, E., Malinovsky, Y., and Spizzichino, F. Stochastic precedence and minima among dependent variables.
A study based on the multivariate conditional hazard rates.
Submitted for publication.
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Teaching
(Fall 2011) Stat 417 Introduction to Time Series Data Analysis
(Spring 2012) Stat 355 Introduction to Probability and Statistics for Scientists and Engineers
(Fall 2012) Stat 651 Basic Probability
(Spring 2013) Stat 653 Basic Mathematical Statistics
(Spring 2013) Stat 710 Topics in Mathematical Statistics and Statistical Inference
(Fall 2013) Stat 490 Special Topics in Statistics: Stochastic Processes
(Fall 2013) Stat 651 Basic Probability
(Spring 2014) Stat 653 Basic Mathematical Statistics
(Spring 2014) Stat 405 Survey Sampling
(Fall 2014) Stat 651 Basic Probability
(Fall 2014) Stat 455 Design of Experiments and Quality Controls
(Spring 2015) Stat 653 Basic Mathematical Statistics
(Spring 2015) Stat 616 Nonparametric Statistics
(Fall 2015) Stat 651 Basic Probability
(Fall 2015) Stat 490 Special Topics in Statistics: Nonparametric Methods
(Spring 2016) Stat 653 Basic Mathematical Statistics
(Spring 2016) Stat 355 Introduction to Probability and Statistics for Scientists and Engineers
(Fall 2016) Stat 616 Nonparametric Statistics
(Fall 2016) Stat 490 Special Topics in Statistics: Probability Models with Applications
(Spring 2017) Stat 710 Topics in Group Testing and Sequential Methods
(Spring 2017) Stat 355 Introduction to Probability and Statistics for Scientists and Engineers
(Fall 2017) Stat 490 Special Topics in Statistics: Nonparametric Methods
(Fall 2017) Stat 355 Introduction to Probability and Statistics for Scientists and Engineers
(Spring 2018) Stat 355 Introduction to Probability and Statistics for Scientists and Engineers
(Spring 2018) Stat 616 Nonparametric Statistics
(Spring 2019) Stat 355 Introduction to Probability and Statistics for Scientists and Engineers
(Spring 2019) Stat 490 Special Topics in Statistics: Probability Models with Applications