IDEAS home Printed from https://ideas.repec.org/e/psl64.html
   My authors  Follow this author

Lev Naumovich Slutskin
(Лев Наумович Слуцкин)

Personal Details

First Name:Lev
Middle Name:Naumovich
Last Name:Slutskin
Suffix:
RePEc Short-ID:psl64
[This author has chosen not to make the email address public]

Affiliation

Institute of Economics
Russian Academy of Sciences (RAS)

Moscow, Russia
http://www.inecon.org/

: +7 499 129-0609
+7 499 724-1409
32, Nakhimovsky prospect, 117418, Moscow
RePEc:edi:derasru (more details at EDIRC)

Research output

as
Jump to: Articles

Articles

  1. Slutskin, Lev, 2015. "Definition of a prior distribution in Bayesian analysis by minimizing Kullback–Leibler divergence under data availability," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 40(4), pages 129-141.
  2. Slutskin, Lev, 2010. "Bayesian analysis in the case of an estimated parameter following a stochastic process," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 20(4), pages 119-131.
  3. Mayevsky, Vladimir & Slutskin, Lev, 2009. "Inflation and Stock Market: CPI and S&P," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 15(3), pages 16-22.
  4. Slutskin, Lev, 2009. "Statistical Analysis of Inflationary Processes in Manufacturing Sectors of American Economy, 1959-1996," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 13(1), pages 89-104.
  5. Slutskin, Lev, 2007. "The Generalized Method of Moments," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 7(3), pages 119-133.
  6. Slutskin , Lev, 2007. "Stability Tests for Linear Regression Models," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 6(2), pages 126-135.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Slutskin, Lev, 2015. "Definition of a prior distribution in Bayesian analysis by minimizing Kullback–Leibler divergence under data availability," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 40(4), pages 129-141.

    Cited by:

    1. Slutskin, L., 2017. "Graphical Statistical Methods for Studying Causal Effects. Bayesian Networks," Journal of the New Economic Association, New Economic Association, vol. 36(4), pages 12-30.

  2. Slutskin, Lev, 2010. "Bayesian analysis in the case of an estimated parameter following a stochastic process," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 20(4), pages 119-131.

    Cited by:

    1. Demeshev, Boris & Malakhovskaya, Oxana, 2016. "BVAR mapping," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 43, pages 118-141.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Lev Naumovich Slutskin
(Лев Наумович Слуцкин) should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.