-
1
-
-
0001317712
-
Exact likelihood of vector autoregressive-moving average with missing or aggregated data
-
Ansley, C.F., & Kohn, R. (1983). Exact likelihood of vector autoregressive-moving average with missing or aggregated data. Biometrica, 70(1), 275-278.
-
(1983)
Biometrica
, vol.70
, Issue.1
, pp. 275-278
-
-
Ansley, C.F.1
Kohn, R.2
-
2
-
-
43949154166
-
On the convergence of reflective Newton methods for large-scale nonlinear minimization subject to bounds
-
Coleman, T.F., & Li, Y. (1994). On the convergence of reflective Newton methods for large-scale nonlinear minimization subject to bounds. Mathematical Programming, 67(2), 189-224.
-
(1994)
Mathematical Programming
, vol.67
, Issue.2
, pp. 189-224
-
-
Coleman, T.F.1
Li, Y.2
-
3
-
-
0030303844
-
An interior, trust region approach for nonlinear minimization subject to bounds
-
Coleman, T.F., & Li, Y. (1996). An interior, trust region approach for nonlinear minimization subject to bounds. SIAM Journal on Optimization, 6, 418-445.
-
(1996)
SIAM Journal on Optimization
, vol.6
, pp. 418-445
-
-
Coleman, T.F.1
Li, Y.2
-
4
-
-
0002629270
-
Maximum likelihood from incomplete data via the EM algorithm
-
Dempster, A.P., Laird, N.M., & Rubin, D.B. (1977). Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, Series B, 39, 1-38.
-
(1977)
Journal of the Royal Statistical Society, Series B
, vol.39
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
5
-
-
62749204361
-
A rank minimization approach to fast dynamic event detection and track matching in video sequences
-
New Orleans, LA
-
Ding, T., Sznaier, M., & Camps, O. (2007). A rank minimization approach to fast dynamic event detection and track matching in video sequences. Proceedings of the 46th IEEE Conference on Decision and Control. New Orleans, LA.
-
(2007)
Proceedings of the 46Th IEEE Conference on Decision and Control
-
-
Ding, T.1
Sznaier, M.2
Camps, O.3
-
6
-
-
77950845635
-
Estimation of time series models in the presence of missing data
-
Dunsmuir, W., & Robinson, P. (1981). Estimation of time series models in the presence of missing data. Journal of the American Statistical Association, 76(375), 560-568.
-
(1981)
Journal of the American Statistical Association
, vol.76
, Issue.375
, pp. 560-568
-
-
Dunsmuir, W.1
Robinson, P.2
-
7
-
-
0000803444
-
The differentiation of pseudoinverses and nonlinear least squares problemswhose variables separate
-
Golub, G., & Pereyra, V. (1973). The differentiation of pseudoinverses and nonlinear least squares problemswhose variables separate. SIAM Journal on Numerical Analysis, 10(2), 413-432.
-
(1973)
SIAM Journal on Numerical Analysis
, vol.10
, Issue.2
, pp. 413-432
-
-
Golub, G.1
Pereyra, V.2
-
8
-
-
0004236492
-
-
3rd ed.). Baltimore, MD: Johns Hopkins University Press
-
Golub, G.H., & vanLoan, C.F. (1996). Matrix computations (3rd ed.). Baltimore, MD: Johns Hopkins University Press.
-
(1996)
Matrix Computations
-
-
Golub, G.H.1
Vanloan, C.F.2
-
9
-
-
33749746055
-
Multi-rate techniques in nonzero-order hold identification
-
Copenhagen, Denmark
-
Goodwin, G., & Adams, G.J. (1994).Multi-rate techniques in nonzero-order hold identification. In Preprints of the 10th IFAC Symposium on System Identification (Vol. 3, pp. 125-130). Copenhagen, Denmark.
-
(1994)
Preprints of the 10Th IFAC Symposium on System Identification
, vol.3
, pp. 125-130
-
-
Goodwin, G.1
Adams, G.J.2
-
10
-
-
77950788201
-
System identification via nuclear norm regularization for simulated bed processes from incomplete data sets
-
Shanghai, China
-
Grossmann, C., Jones, C.N., & Morari, M. (2009). System identification via nuclear norm regularization for simulated bed processes from incomplete data sets. In Proceedings of the 48th IEEE Conference on Decision and Control (pp. 4692-4697). Shanghai, China.
-
(2009)
Proceedings of the 48Th IEEE Conference on Decision and Control
, pp. 4692-4697
-
-
Grossmann, C.1
Jones, C.N.2
Morari, M.3
-
12
-
-
84865023750
-
Maximum likelihood estimation of Gaussian models with missing data-eight equivalent formulations
-
Hansson, A., & Wallin, R. (2012). Maximum likelihood estimation of Gaussian models with missing data-eight equivalent formulations. Automatica, 48(9), 1955-1962.
-
(2012)
Automatica
, vol.48
, Issue.9
, pp. 1955-1962
-
-
Hansson, A.1
Wallin, R.2
-
13
-
-
0005757159
-
Missing observations in dynamic econometric models: A partial synthesis
-
E. Parzen (Ed.), New York, NY: Springer Verlag
-
Harvey, A.C., & McKenzie, C.R. (1984). Missing observations in dynamic econometric models: A partial synthesis. In E. Parzen (Ed.), Time series analysis of irregularly observed data (pp. 108-133). New York, NY: Springer Verlag.
-
(1984)
Time Series Analysis of Irregularly Observed Data
, pp. 108-133
-
-
Harvey, A.C.1
McKenzie, C.R.2
-
14
-
-
0027595035
-
Identification of ARX models subject to missing data
-
Isaksson, A.J. (1993). Identification of ARX models subject to missing data. IEEE Transactions on Automatic Control, 38(5), 813-819.
-
(1993)
IEEE Transactions on Automatic Control
, vol.38
, Issue.5
, pp. 813-819
-
-
Isaksson, A.J.1
-
15
-
-
84988448501
-
Survey of missing data identification techniques
-
Whistler, Canada
-
Isaksson, A.J., & Kaul, V. (1992). Survey of missing data identification techniques. In Proceedings of Control Systems 92 (pp. 95-99). Whistler, Canada.
-
(1992)
Proceedings of Control Systems
, vol.92
, pp. 95-99
-
-
Isaksson, A.J.1
Kaul, V.2
-
16
-
-
0001353940
-
Maximum likelihood fitting ofARMAmodels to time series with missing observations
-
Jones, R.H. (1980).Maximum likelihood fitting ofARMAmodels to time series with missing observations. Technometrics, 22, 389-395.
-
(1980)
Technometrics
, vol.22
, pp. 389-395
-
-
Jones, R.H.1
-
17
-
-
0016450838
-
A variable projection method for solving separable nonlinear least squares problems
-
Kaufman, L. (1975). A variable projection method for solving separable nonlinear least squares problems. BIT Numerical Mathematics, 15, 49-57.
-
(1975)
BIT Numerical Mathematics
, vol.15
, pp. 49-57
-
-
Kaufman, L.1
-
19
-
-
84878567534
-
Nuclear norm system identificationwithmissing inputs and outputs
-
Liu, Z., Hansson, A., & Vandenberghe, L. (2013). Nuclear norm system identificationwithmissing inputs and outputs. Systems & Control Letters, 62, 605-612.
-
(2013)
Systems & Control Letters
, vol.62
, pp. 605-612
-
-
Liu, Z.1
Hansson, A.2
Vandenberghe, L.3
-
20
-
-
0003473124
-
-
2nd ed.). Upper Saddle River, NJ: Prentice Hall
-
Ljung, L. (1999). System identification (2nd ed.). Upper Saddle River, NJ: Prentice Hall.
-
(1999)
System Identification
-
-
Ljung, L.1
-
22
-
-
0019055675
-
Parameter estimation for autoregressive systems with missing observations
-
McGiffin, P.B., & Murthy, D.N. (1980). Parameter estimation for autoregressive systems with missing observations. International Journal of Systems Science, 11(9), 1021-1034.
-
(1980)
International Journal of Systems Science
, vol.11
, Issue.9
, pp. 1021-1034
-
-
McGiffin, P.B.1
Murthy, D.N.2
-
23
-
-
0019578096
-
Parameter estimation for autoregressive systems with missing observations-part II
-
McGiffin, P.B., & Murthy, D.N. (1981). Parameter estimation for autoregressive systems with missing observations-part II. International Journal of Systems Science, 12(6), 657-663.
-
(1981)
International Journal of Systems Science
, vol.12
, Issue.6
, pp. 657-663
-
-
McGiffin, P.B.1
Murthy, D.N.2
-
24
-
-
0000022003
-
A strategy to complete a time series with missing observations
-
E. Parzen (Ed.), New York, NY: Springer Verlag
-
Miller, R.B., & Ferreiro, O. (1984). A strategy to complete a time series with missing observations. In E. Parzen (Ed.), Time series analysis of irregularly observed data (pp. 251-275). New York, NY: Springer Verlag.
-
(1984)
Time Series Analysis of Irregularly Observed Data
, pp. 251-275
-
-
Miller, R.B.1
Ferreiro, O.2
-
25
-
-
0038473188
-
The exact likelihood of an autoregressive-moving average model with incomplete data
-
Penzer, J., & Shea, B. (1997). The exact likelihood of an autoregressive-moving average model with incomplete data. Biometrika, 84(4), 919-928.
-
(1997)
Biometrika
, vol.84
, Issue.4
, pp. 919-928
-
-
Penzer, J.1
Shea, B.2
-
27
-
-
0033743242
-
Frequency domain system identification with missing data
-
Pintelon, R., & Schoukens, J. (2000). Frequency domain system identification with missing data. IEEE Transactions on Automatic control, 45(2), 364-369.
-
(2000)
IEEE Transactions on Automatic Control
, vol.45
, Issue.2
, pp. 364-369
-
-
Pintelon, R.1
Schoukens, J.2
-
28
-
-
0024627008
-
Optimal ARMA parameter estimation based on the sample covariances for data with missing observation
-
Rosen, Y., & Porat, B. (1989). Optimal ARMA parameter estimation based on the sample covariances for data with missing observation. IEEE Transactions on Information Theory, 35(12), 342-349.
-
(1989)
IEEE Transactions on Information Theory
, vol.35
, Issue.12
, pp. 342-349
-
-
Rosen, Y.1
Porat, B.2
-
29
-
-
33749725635
-
Scarce data operating conditions: Process model identification
-
Kitakyushu, Japan
-
Sanchis, R., Sala, A., & Albertos, P. (1997). Scarce data operating conditions: Process model identification. In Preprints of the 11th IFAC Symposium on System Identification (Vol. 2, pp. 463-468). Kitakyushu, Japan.
-
(1997)
Preprints of the 11Th IFAC Symposium on System Identification
, vol.2
, pp. 463-468
-
-
Sanchis, R.1
Sala, A.2
Albertos, P.3
-
30
-
-
0345557533
-
Missing data in autoregressive model
-
Sargan, J.D., & Drettakis, E.G. (1974).Missing data in autoregressive model. International Economic Review, 15(1), 39-58.
-
(1974)
International Economic Review
, vol.15
, Issue.1
, pp. 39-58
-
-
Sargan, J.D.1
Drettakis, E.G.2
-
32
-
-
28044459395
-
A new type of parameter estimation algorithm for missing data problems
-
Stoica, P., Xu, L., & Li, J. (2005). A new type of parameter estimation algorithm for missing data problems. Statistics & Probability Letters, 75, 219-229.
-
(2005)
Statistics & Probability Letters
, vol.75
, pp. 219-229
-
-
Stoica, P.1
Xu, L.2
Li, J.3
-
33
-
-
0030419741
-
Identification of nonlinear systems with missing data using stochastic neural network
-
Kobe, Japan
-
Tanaka, M. (1996). Identification of nonlinear systems with missing data using stochastic neural network. In Proceedings of 35th IEEE Conference on Decision and Control (Vol. 1, pp. 933-934). Kobe, Japan.
-
(1996)
Proceedings of 35Th IEEE Conference on Decision and Control
, vol.1
, pp. 933-934
-
-
Tanaka, M.1
-
34
-
-
0025751426
-
Robust identification and smoothing for linear system with outliers and missing data
-
Tallinn, Estonia, USSR
-
Tanaka, M., & Katayama, T. (1990). Robust identification and smoothing for linear system with outliers and missing data. In Preprints 11th IFAC World Congress (pp. 160-165). Tallinn, Estonia, USSR.
-
(1990)
Preprints 11Th IFAC World Congress
, pp. 160-165
-
-
Tanaka, M.1
Katayama, T.2
-
35
-
-
0034438510
-
An iterative method for identification of ARX models subject to missing data
-
Sydney, Australia
-
Wallin, R., Isaksson, A.J., & Ljung, L. (2000). An iterative method for identification of ARX models subject to missing data. Proceedings of the 39th IEEE Conference on Decision and Control. Sydney, Australia.
-
(2000)
Proceedings of the 39Th IEEE Conference on Decision and Control
-
-
Wallin, R.1
Isaksson, A.J.2
Ljung, L.3
-
36
-
-
0025494624
-
Sequential algorithms for parameter estimation based on the Kullback-Leibler information measure
-
ASSP-38
-
Weinstein, E., Feder, M., & Oppenheim, A.V. (1990). Sequential algorithms for parameter estimation based on the Kullback-Leibler information measure. IEEE Transactions on Acoustics, Speech and Signal Processing, ASSP-38, 1652-1654.
-
(1990)
IEEE Transactions on Acoustics, Speech and Signal Processing
, pp. 1652-1654
-
-
Weinstein, E.1
Feder, M.2
Oppenheim, A.V.3
|