-
1
-
-
0000501656
-
Information theory and an extension of the maximum likelihood principle
-
B.N. Petrov, F. Csaki (Eds.), Akademia Kiado, Budapest
-
H. Akaike, Information theory and an extension of the maximum likelihood principle, in: B.N. Petrov, F. Csaki (Eds.), Proc. 2nd Int. Symp. Information Theory, Akademia Kiado, Budapest, 1973, pp. 267-281.
-
(1973)
Proc. 2nd Int. Symp. Information Theory
, pp. 267-281
-
-
Akaike, H.1
-
2
-
-
77956828132
-
Canonical correlation analysis of time series and the use of an information criterion
-
R.K. Mehra, D.G. Lainiotis (Eds.), Academic Press, New York
-
H. Akaike, Canonical correlation analysis of time series and the use of an information criterion, in: R.K. Mehra, D.G. Lainiotis (Eds.), System Identification - Advances and Case Studies, Academic Press, New York, 1976, pp. 27-96.
-
(1976)
System Identification - Advances and Case Studies
, pp. 27-96
-
-
Akaike, H.1
-
3
-
-
0002909927
-
On entropy maximization principle
-
P.R. Krishnaiah (Ed.), North-Holland, Amsterdam
-
H. Akaike, On entropy maximization principle, in: P.R. Krishnaiah (Ed.), Applications of Statistics, North-Holland, Amsterdam, 1977, pp. 27-41.
-
(1977)
Applications of Statistics
, pp. 27-41
-
-
Akaike, H.1
-
6
-
-
0021441691
-
∞-error bounds
-
∞-error bounds, Int. J. Control 39 (1984) 1115-1193.
-
(1984)
Int. J. Control
, vol.39
, pp. 1115-1193
-
-
Glover, K.1
-
8
-
-
0030149343
-
Canonical correlation analysis, approximate covariance extension, and identification of stationary time series
-
A. Lindquist, G. Picci, Canonical correlation analysis, approximate covariance extension, and identification of stationary time series, Automatica 32 (1996) 709-733.
-
(1996)
Automatica
, vol.32
, pp. 709-733
-
-
Lindquist, A.1
Picci, G.2
-
9
-
-
0344075629
-
Geometric methods for state space identification
-
S. Bittanti, G. Picci (Eds.), Springer, London
-
A. Lindquist, G. Picci, Geometric methods for state space identification, in: S. Bittanti, G. Picci (Eds.), Identification, Adaptation, Learning, Springer, London, 1996, pp. 1-69.
-
(1996)
Identification, Adaptation, Learning
, pp. 1-69
-
-
Lindquist, A.1
Picci, G.2
-
10
-
-
0027589792
-
Subspace algorithms for the stochastic identification problem
-
P. Van Overschee, B. De Moor, Subspace algorithms for the stochastic identification problem, Automatica 29 (1993) 649 -660.
-
(1993)
Automatica
, vol.29
, pp. 649-660
-
-
Van Overschee, P.1
De Moor, B.2
-
11
-
-
0000442911
-
The use and interpretation of principal component analysis in applied research
-
C.R. Rao, The use and interpretation of principal component analysis in applied research, Sankhya Ser. A 26 (1964) 329 -358.
-
(1964)
Sankhya Ser. A
, vol.26
, pp. 329-358
-
-
Rao, C.R.1
-
12
-
-
0141642530
-
System identification with information theoretic criteria
-
S. Bittanti, G. Picci (Eds.), Springer, Berlin
-
A.A. Stoorvogel, J.H. van Schuppen, System identification with information theoretic criteria, in: S. Bittanti, G. Picci (Eds.), Identification, Adaptation, Learning, Springer, Berlin, 1996, pp. 289-338.
-
(1996)
Identification, Adaptation, Learning
, pp. 289-338
-
-
Stoorvogel, A.A.1
Van Schuppen, J.H.2
-
14
-
-
0347641638
-
The weak and strong gaussian probabilistic realization problem
-
C. van Putten, J.H. van Schuppen, The weak and strong gaussian probabilistic realization problem, J. Multivariate Anal. 13 (1983) 118-137.
-
(1983)
J. Multivariate Anal.
, vol.13
, pp. 118-137
-
-
Van Putten, C.1
Van Schuppen, J.H.2
-
15
-
-
0003223691
-
Stochastic realization problems
-
J.M. Schumacher, H. Nijmeijer (Eds.), Springer, Berlin
-
J.H. van Schuppen, Stochastic realization problems, in: J.M. Schumacher, H. Nijmeijer (Eds.), Three Decades of Mathematical System Theory, Lecture Notes in Control and Information Sciences, vol. 135, Springer, Berlin, 1989, pp. 480-523.
-
(1989)
Three Decades of Mathematical System Theory, Lecture Notes in Control and Information Sciences
, vol.135
, pp. 480-523
-
-
Van Schuppen, J.H.1
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