Ph.D. in Statistics, Department of Statistics, The Hebrew University of Jerusalem, Israel, 2009
Research Interests
Decision theory, Stochastic ordering, Sequential selection, 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
Research Funding
United States - Israel Binational Science Foundation (BSF):
Grant #2020063 "Minimax online learning policies in stochastic sequential selection and assignment,''
[with A. Goldenshluger, Haifa University and A. Zeevi, Columbia University] 10/2021-10/2025
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., 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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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, 13, 2624-2657, 2019.
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Malinovsky, Y. Sterrett procedure for the generalized group testing problem. Methodology and Computing in Applied Probability,
21, 829-840, 2019.
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Haber, G., Malinovsky, Y. On the construction of unbiased estimators for the group testing problem.
Sankhya A, 82, 220-241, 2020.
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Malinovsky, Y., Haber, G., Albert, P. An optimal design for hierarchical generalized group testing.
JRSS C, 2020.
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Goldenshluger, A., Malinovsky, Y., and Zeevi, A. A unified approach for solving sequential selection problems.
Probability Surveys, 17, 214-256, 2020.
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Malinovsky, Y. Conjectures on Optimal Nested Generalized Group Testing Algorithm.
Applied Stochastic Models in Business and Industry, 36, 1029-1036, 2020.
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De Santis, E., Malinovsky, Y., and Spizzichino, F. Stochastic precedence and minima among dependent variables.
Methodology and Computing in Applied Probability 23, 187--205, 2021.
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Haber, G., Malinovsky, Y., Albert, P. Is Group Testing Ready for Prime-time in Disease Identification?.
Statistics in Medicine, Discussion Article, 40, 3865-3880, 2021.
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Malinovsky, Y. On the distribution of winners' scores in a round-robin tournament.
Probability in the Engineering and Informational Sciences, In Press, 2021.
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Malinovsky, Y. A note on the closed-form solution for the longest head run problem of Abraham de Moivre.
The Mathematical Intelligencer, In press, 2021.
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Best, A., Malinovsky, Y., Albert, P. The efficient design of nested group testing algorithms
for disease identification in clustered data.
Journal of Applied Statistics, Accepted, 2022.
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Malinovsky, Y., and Zacks, S. Two-Stage and Sequential Unbiased Estimation of N in Binomial Trials, when the Probability of Success p is Unknown.
Sequential Analysis, Accepted, 2022.
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Malinovsky, Y. A Short Probabilistic Proof of a Binomial Identity.
The College Mathematics Journal, In Press, 2022.
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Malinovsky, Y., Moon, J. W. On the negative dependence inequalities and maximal score in round-robin tournament.
Statistics and Probability Letters, 185, 109432, 2022.
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Miscellania
Malinovsky, Y. Follow Up on Detecting Deficiencies: An Optimal Group Testing.
End Notes: Mathematics Magazine 92, 398, 2019.
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Malinovsky, Y. Book Review.
Biometrics, 2019.
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Malinovsky, Y. Layman's abstract for paper on conjectures on optimal nested generalized group testing algorithm.
Statistics Views, Willey, 2020.
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Malinovsky, Y., Albert, P. Nested Group Testing Procedures for Screening.
Wiley StatsRef-Statistics Reference Online, Accepted, 2021.
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Preprints
Mehta, T., Malinovsky, Y., Abnet, C., Albert, P.
Using Group Testing in a Two-Phase Epidemiologic Design to Identify the Effects of a Large Number of Antibody Reactions on Disease Risk.
Submitted for publication.
Malinovsky, Y.
A note on the distribution of the extreme degrees of a random graph via the Stein-Chen method.
Submitted for publication.
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Teaching
Stat 355 Introduction to Probability and Statistics for Scientists and Engineers (Spring 2012, Spring 2016, Spring 2017, Fall 2017, Spring 2018, Spring 2019, Fall 2020, Spring 2022 )
Stat 405 Survey Sampling (Spring 2014)
Stat 417 Introduction to Time Series Data Analysis (Fall 2011)
Stat 455 Design of Experiments and Quality Controls (Fall 2014)
Stat 490 Special Topics in Statistics: Stochastic Processes (Fall 2013)
Stat 490 Special Topics in Statistics: Nonparametric Methods (Fall 2015, Fall 2017, Spring 2020)
Stat 490 Special Topics in Statistics: Probability Models with Applications (Fall 2016, Spring 2019, Fall 2021)
Stat 490 Special Topics in Statistics: Decision Theory with Applications (Fall 2019, Spring 2022)
Stat 616 Nonparametric Statistics (Spring 2015, Fall 2016, Spring 2018, Fall 2021 )
Stat 651 Basic Probability (Fall 2012, Fall 2013, Fall 2014, Fall 2015, Fall 2018, Fall 2020 )
Stat 653 Basic Mathematical Statistics (Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2020, Spring 2021)
Stat 710 Topics on Mathematical Statistics and Statistical Inference (Spring 2013)
Stat 710 Topics on Group Testing and Sequential Methods (Spring 2017)
Stat 700 Topics on Sequential Selection and Group Testing (Spring 2021)