Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Bergstrom, A. R.
1985.
The Estimation of Parameters in Nonstationary Higher Order Continuous-Time Dynamic Models.
Econometric Theory,
Vol. 1,
Issue. 3,
p.
369.
Bergstrom, A. R.
1986.
The Estimation of Open Higher-Order Continuous Time Dynamic Models with Mixed Stock and Flow Data.
Econometric Theory,
Vol. 2,
Issue. 3,
p.
350.
Bergstrom, A.R.
1987.
Optimal control in wide-sense stationary continuous-time stochastic models.
Journal of Economic Dynamics and Control,
Vol. 11,
Issue. 3,
p.
425.
Bergstrom, A. R.
1988.
The History of Continuous-Time Econometric Models.
Econometric Theory,
Vol. 4,
Issue. 3,
p.
365.
Stock, James H.
1988.
Estimating Continuous-Time Processes Subject to Time Deformation.
Journal of the American Statistical Association,
Vol. 83,
Issue. 401,
p.
77.
Lo, Andrew W.
1988.
Maximum Likelihood Estimation of Generalized Itô Processes with Discretely Sampled Data.
Econometric Theory,
Vol. 4,
Issue. 2,
p.
231.
Zadrozny, Peter
1988.
Gaussian Likelihood of Continuous-Time ARMAX Models When Data Are Stocks and Flows at Different Frequencies.
Econometric Theory,
Vol. 4,
Issue. 1,
p.
108.
Harvey, A.C.
and
Stock, James H.
1988.
Continuous time autoregressive models with common stochastic trends.
Journal of Economic Dynamics and Control,
Vol. 12,
Issue. 2-3,
p.
365.
Harvey, A.C.
and
Stock, James H.
1989.
Estimating integrated higher-order continuous time autoregressions with an application to money-income causality.
Journal of Econometrics,
Vol. 42,
Issue. 3,
p.
319.
BERGSTROM, A.R.
1989.
System-Theoretic Methods in Economic Modelling I.
p.
1203.
Zadrozny, P.A.
1989.
Analytic derivatives for estimation of linear dynamic models.
Computers & Mathematics with Applications,
Vol. 18,
Issue. 6-7,
p.
539.
ZADROZNY, P.A.
1989.
System-Theoretic Methods in Economic Modelling II.
p.
539.
Bergstrom, A.R.
1989.
Optimal forecasting of discrete stock and flow data generated by a higher order continuous time system.
Computers & Mathematics with Applications,
Vol. 17,
Issue. 8-9,
p.
1203.
Chambers, Marcus J.
1991.
Forecasting discrete stock and flow data generated by a second order continuous time system.
Computers & Mathematics with Applications,
Vol. 22,
Issue. 10,
p.
107.
Chambers, Marcus J.
1991.
Discrete Models for Estimating General Linear Continuous Time Systems.
Econometric Theory,
Vol. 7,
Issue. 4,
p.
531.
Reiter, Michael
1992.
Observation errors and inventory cycles.
International Journal of Production Economics,
Vol. 26,
Issue. 1-3,
p.
99.
Bergstrom, A.R.
Nowman, K.B.
and
Wymer, C.R.
1992.
Gaussian estimation of a second order continuous time macroeconometric model of the UK.
Economic Modelling,
Vol. 9,
Issue. 4,
p.
313.
Hamerle, Alfred
Singer, Hermann
and
Nagl, Willi
1993.
Identification and Estimation of Continuous Time Dynamic Systems With Exogenous Variables Using Panel Data.
Econometric Theory,
Vol. 9,
Issue. 2,
p.
283.
Singer, Hermann
1993.
CONTINUOUS‐TIME DYNAMICAL SYSTEMS WITH SAMPLED DATA, ERRORS OF MEASUREMENT AND UNOBSERVED COMPONENTS.
Journal of Time Series Analysis,
Vol. 14,
Issue. 5,
p.
527.
Sawyer, K.R.
1993.
Econometrics.
Vol. 11,
Issue. ,
p.
739.