LUISS

Curriculum Vitae

Yosef Rinott,  Professor. Department of Statistics and Center for the Study of Rationality, The Hebrew University, and Department of Economics and Finance,  LUISS  Rome.

Research Interests

Mathematical and applied statistics; probability inequalities and stochastic orderings; limit theorems, asymptotics in statistics, dependence; probabilistic aspects of game theory; statistical disclosure control; decision and sampling theory.

Education  Ph.D:

Weizmann Institute of Science, Israel, 1974
Ms.C: The Hebrew University, Jerusalem, Israel, 1970 Department of Statistics
B.A.: The Hebrew University, Jerusalem, Israel, 1968 Departments of Mathematics and Statistics

Past Academic position:

The University of California San Diego Professor, Department of Mathematics 1989 – 2000

Chair: Mr. and Mrs. Francis Hock professor of statistics 2006 – present,
The Hebrew University

Recent Publications

 

  • Mandel, M., and Rinott Y. (2014)  Estimation from Cross-Sectional Samples under Bias and Dependence.   Biometrika  101,  719-725.
  • Rinott, Y., Scarsini, M., and Yu, Y. (2012). A Colonel Blotto Gladiator Game. Mathematics of Operations Research 37, 574-590.
  • Azriel, D., Mandel, M., and Rinott Y. (2012). Optimal allocation to maximize power of two-sample tests for binary response. Biometrika 99, 101-113.
  • Goldstein, L., Rinott, Y. and Scarsini, M. (2012). Stochastic comparisons of symmetric sampling designs. Methodology and Computing in Applied Probability 14, 407-420.
  • Azriel, D., Mandel, M., and Rinott Y. (2011). The treatment versus experimentation dilemma in dose-finding studies . Center for Rationality Discussion paper 559. Journal of Statistical Planning and Inference 141, 2759–2768.
  • Malinovsky, Y., and Rinott Y. (2011). Best invariant and minimax estimation of quantiles in finite populations. Center for Rationality Discussion paper 553. Journal of Statistical Planning and Inference 141, 2633–2644.
  • Sattath S, Elyashiv E, Kolodny O, Rinott Y, Sella G (2011). Pervasive adaptive protein evolution apparent in diversity patterns around amino acid substitutions in Drosophila simulans. PLoS Genet 7: e1001302.
  • Goldstein, L., Rinott, Y. and Scarsini, M. (2011). Stochastic comparisons of stratified sampling techniques for some Monte Carlo estimators. Bernoulli 17, 592-608.
  • Eyal Elyashiv, Kevin Bullaughey, Shmuel Sattath, Yosef Rinott, Molly Przeworski and Guy Sella (2010). Shifts in the intensity of purifying selection: An analysis of genome-wide polymorphism data from two closely related yeast species. Genome Research 20, 1558 – 1573.
  • Bartroff, J., Goldstein, L., Rinott, Y., and Samuel-Cahn, E. (2010). On optimal allocation of a continuous resource using an iterative approach and total positivity. Advances in Applied Probability 42, 795-815.
  • Malinovsky, Y., and Rinott Y. (2010). Prediction of ordered random effects in a simple small area model. Statistica Sinica 20, 697-714.
  • Di Serio, C., Rinott Y., and Scarsini, M. (2009).  Simpson’s paradox in survival models. Scandinavian Journal of Statistics 36, 463-480.
  • Rinott, Y. (2008).  Some decision-theoretic aspects in finite population sampling.   In Handbook of Statistics 29B. Sample Surveys: Inference and Analysis, edited by D. Pfeffermann and C.R. Rao. 523-558.
  • Hart, S. , Rinott, Y., and Weiss, B. (2008). Evolutionarily Stable Strategies of Random Games, and the Vertices of Random Polygons. Annals of Applied Probability 18 259-287.