Parameter Estimation
Fisher Information
Characterization Problems
Sufficiency and Exponential Families
Generalized Linear Models
Main publications:
2007
1. Sub- and superadditivity a la Carlen of matrices related to the Fisher information (with Z. Landsman and C. R. Rao). J. Statist. Planning and Inference, 137, 291-298.
2. A lemma on stochastic majorization and properties of the Student distribution (with A. V. Nagaev). Theory Probab. Applications, 52, no. 1.
3. Strong decomposition of random variables (with J. Hoffman ?Jorgensen, L. Pitt and L. Shepp) J. Theoret. Probab.
4. An identity for the Fisher information and Mahalanobis distance (with Bing Li) (submitted).
2006
1. Quasi-independence of random variables and a property of normal and gamma distributions. J. Statist. Planning and Inference, 136, 199-208.
2. Profile sufficiency . Austrian J. Statistics, 35, 121-130.
A. M. Kagan, Tinghui Yu, A. Barron, M. Madiman, “Contribution to the theory of Pitman estimators”, Zap. Nauchn. Sem. POMI, 408 (2012), 245–267; J. Math. Sci. (N. Y.), 199:2 (2014), 202–214
A. M. Kagan, A. V. Nagaev, “A lemma on stochastic majorization and properties of the Student distribution”, Teor. Veroyatnost. i Primenen., 52:1 (2007), 199–203; Theory Probab. Appl., 52:1 (2008), 160–164
A. M. Kagan, C. R. Rao, “On estimation of a location parameter in presence of an ancillary component”, Teor. Veroyatnost. i Primenen., 50:1 (2005), 172–176; Theory Probab. Appl., 50:1 (2006), 129–133
A. A. Zinger, A. M. Kagan, “The least squares estimate, nonquadratic errors and the Gaussian distribution”, Teor. Veroyatnost. i Primenen., 36:1 (1991), 34–41; Theory Probab. Appl., 36:1 (1991), 115–123
A. M. Kagan, “Generalized Condition ot the Identity of Distributions of Random Vectors in Connection with the Asymptotic Theory of Linear Forms in Independent Random Values”, Teor. Veroyatnost. i Primenen., 34:2 (1989), 370–375; Theory Probab. Appl., 34:2 (1989), 327–332
A. M. Kagan, “New Classes of Dependent Random Variables and Generalization of Darmois–Skytovich Theorem to the Case of Several Forms”, Teor. Veroyatnost. i Primenen., 33:2 (1988), 305–314; Theory Probab. Appl., 33:2 (1988), 286–295
A. M. Kagan, “The analytical precising of the Heyde theorem on linear forms of independent random variables”, Zap. Nauchn. Sem. LOMI, 166 (1988), 54–59
1987
8.
A. M. Kagan, “A class of Two-Dimensional Distributions Arising in Connection with Cramer and Darmois–Skitovitch Theorems”, Teor. Veroyatnost. i Primenen., 32:2 (1987), 349–351; Theory Probab. Appl., 32:2 (1987), 323–325
A. A. Zinger, A. M. Kagan, “Contribution to the analytic theory of linear forms of independent random variables”, Zap. Nauchn. Sem. LOMI, 153 (1986), 37–44
1985
10.
A. M. Kagan, “An information property of exponential families”, Teor. Veroyatnost. i Primenen., 30:4 (1985), 783–786; Theory Probab. Appl., 30:4 (1986), 831–835
A. M. Kagan, “A simple modification of Pitman estimates for a location parameter”, Teor. Veroyatnost. i Primenen., 30:3 (1985), 562–566; Theory Probab. Appl., 30:3 (1986), 598–603
1976
12.
A. M. Kagan, “Fisher Information Contained in a Finite-Dimensional Linear Space, and a Correctly Posed Version of the Method of Moments”, Probl. Peredachi Inf., 12:2 (1976), 20–42; Problems Inform. Transmission, 12:4 (1976), 98–115
13.
A. A. Zinger, A. M. Kagan, “A note on the problem of reconstructing the type of a distribution”, Teor. Veroyatnost. i Primenen., 21:2 (1976), 398–401; Theory Probab. Appl., 21:2 (1977), 389–392
14.
A. M. Kagan, L. B. Klebanov, “Estimating stability in the problem of reconstructing the additive type of a distribution”, Zap. Nauchn. Sem. LOMI, 61 (1976), 68–74; J. Soviet Math., 16:5 (1981), 1385–1389
A. M. Kagan, “Some wide-sense analogs of characteristic properties of the normal distribution”, Zap. Nauchn. Sem. LOMI, 61 (1976), 59–67; J. Soviet Math., 16:5 (1981), 1379–1385
1975
16.
O. V. Gerleyn, A. M. Kagan, “Hilbert space methods in classical problems of mathematical statistics”, Zap. Nauchn. Sem. LOMI, 53 (1975), 64–100
1974
17.
A. M. Kagan, L. B. Klebanov, S. M. Fintushal, “Asymptotic behaviour of the polynomial Pitman estimators”, Zap. Nauchn. Sem. LOMI, 43 (1974), 30–39
A. A. Zinger, A. M. Kagan, “Sample mean as an estimator of the location parameter in case of the Laplacian loss function, in presence of the nuisance scale parameter”, Zap. Nauchn. Sem. LOMI, 43 (1974), 15–29
1972
19.
A. M. Kagan, Yu. N. Karpov, “Bayes formulation of the location parameter estimation problem”, Zap. Nauchn. Sem. LOMI, 29 (1972), 62–73
1971
20.
A. M. Kagan, Yu. V. Linnik, J. V. Romanovsky, A. L. Rukhin, “Families with “self-control””, Dokl. Akad. Nauk SSSR, 199:4 (1971), 766–769
1969
21.
A. A. Zinger, A. M. Kagan, L. B. Klebanov, “The sample mean as an estimator of the shift parameter in the presence of certain losses which differ from the quadratic”, Dokl. Akad. Nauk SSSR, 189:1 (1969), 29–30
22.
A. M. Kagan, O. V. Shalaevskii, “Admissibility of the estimate of least squares. Unusual property of the normal law”, Mat. Zametki, 6:1 (1969), 81–89; Math. Notes, 6:1 (1969), 508–512
1968
23.
A. M. Kagan, “Theory of estimation for families with shift, scale and exponential parameters”, Trudy Mat. Inst. Steklov., 104 (1968), 19–87; Proc. Steklov Inst. Math., 104 (1968), 21–103
A. M. Kagan, V. P. Palamodov, “Conditions of optimal unbiased estimation of parametric functions for incomplete exponential families with polynomial constraints”, Dokl. Akad. Nauk SSSR, 175:6 (1967), 1216–1218
25.
A. M. Kagan, “Partial sufficiency and unbiased estimation of polynomials in the shift parameter”, Dokl. Akad. Nauk SSSR, 174:6 (1967), 1257–1259
26.
A. M. Kagan, A. L. Rukhin, “On the estimation theory of the scale parameter”, Teor. Veroyatnost. i Primenen., 12:4 (1967), 735–741; Theory Probab. Appl., 12:4 (1967), 672–678
A. M. Kagan, O. V. Shalaevskii, “Characterization of the normal law by the property of partial sufficiency”, Teor. Veroyatnost. i Primenen., 12:3 (1967), 567–569; Theory Probab. Appl., 12:3 (1967), 512–514
A. M. Kagan, V. P. Palamodov, “Incomplete Exponential Families and Unbiased Minimum Variance Estimates. I”, Teor. Veroyatnost. i Primenen., 12:1 (1967), 39–50; Theory Probab. Appl., 12:1 (1967), 36–46
A. M. Kagan, “Sample mean as an estimate of the shift parameter”, Dokl. Akad. Nauk SSSR, 169:5 (1966), 1006–1008
1965
30.
A. M. Kagan, V. N. Sudakov, “The structure of a complete class of unbiased estimates for distribution families of a special form”, Dokl. Akad. Nauk SSSR, 164:2 (1965), 267–269
31.
A. M. Kagan, Yu. V. Linnik, “Questions in the theory of estimation and the testing of hypotheses”, Itogi Nauki. Ser. Teor. Veroyatn. 1963, 1965, 5–48
32.
A. M. Kagan, “Remarks on separating partitions”, Trudy Mat. Inst. Steklov., 79 (1965), 26–31
A. M. Kagan, “Sufficient systems”, Trudy Mat. Inst. Steklov., 79 (1965), 17–23; Proc. Steklov Inst. Math., 79 (1965), 15–22
34.
A. M. Kagan, “New classes of families of distributions allowing similar regions”, Trudy Mat. Inst. Steklov., 79 (1965), 11–16; Proc. Steklov Inst. Math., 79 (1965), 8–14
1964
35.
A. M. Kagan, O. V. Shalaevskii, “The Behrens–Fisher problem for the existence of similar regions in an algebra of sufficient statistics”, Dokl. Akad. Nauk SSSR, 155:6 (1964), 1250–1252
1963
36.
A. M. Kagan, “Families of distributions and separating partitions”, Dokl. Akad. Nauk SSSR, 153:3 (1963), 522–525
37.
A. M. Kagan, “On the theory of Fischer's information quantity”, Dokl. Akad. Nauk SSSR, 151:2 (1963), 277–278
A. M. Kagan, “On Robbins's scheme”, Dokl. Akad. Nauk SSSR, 150:4 (1963), 733–735
39.
A. M. Kagan, “On a class of measures in a sequence space”, Sibirsk. Mat. Zh., 4:4 (1963), 956–959
1962
40.
A. M. Kagan, “On an empirical Bayes approach to the problem of estimation”, Dokl. Akad. Nauk SSSR, 147:5 (1962), 1020–1021
1974
41.
A. M. Kagan, “Foreword of the editor”, Zap. Nauchn. Sem. LOMI, 43 (1974), 5
1968
42.
A. M. Kagan, “Yu. V. Linnik “Statistical problems with nuisance parameters” (book review)”, Teor. Veroyatnost. i Primenen., 13:1 (1968), 196–197; Theory Probab. Appl., 13:1 (1968), 193–194