State-space models

[1]  Bruce E. Hansen,et al.  Inference When a Nuisance Parameter Is Not Identified under the Null Hypothesis , 1996 .

[2]  René Garcia,et al.  Série Scientifique Scientific Series an Analysis of the Real Interest Rate under Regime Shifts , 2022 .

[3]  James D. Hamilton.  Time Series Analysis , 1994 .

[4]  Chang‐Jin Kim,et al.  Dynamic linear models with Markov-switching , 1994 .

[5]  Selahattin Imrohoroglu.  Testing for sunspot equilibria in the German hyperinflation , 1993 .

[6]  R. Shumway,et al.  Dynamic linear models with switching , 1991 .

[7]  P. D. Jong.  The Diffuse Kalman Filter , 1991 .

[8]  James D. Hamilton.  A Quasi-Bayesian Approach to Estimating Parameters for Mixtures of Normal Distributions , 1991 .

[9]  Patrick Lam,et al.  The Hamilton model with a general autoregressive component , 1990 .

[10]  James D. Hamilton.  Analysis of time series subject to changes in regime , 1990 .

[11]  K. Gordon,et al.  Modeling and Monitoring Biomedical Time Series , 1990 .

[12]  Andrew C. Harvey,et al.  Forecasting, structural time series models and the Kalman filter: Selected answers to exercises , 1990 .

[13]  James D. Hamilton,et al.  Long Swings in the Dollar: Are They in the Data and Do Markets Know It? The American Economic Review , 1990 .

[14]  P. D. Jong.  Smoothing and Interpolation with the State-Space Model , 1989 .

[15]  D. Ghosh.  Maximum likelihood estimation of the dynamic shock-error model , 1989 .

[16]  Mark W. Watson,et al.  Recursive solution methods for dynamic linear rational expectations models , 1989 .

[17]  Thomas J. Sargent,et al.  Two Models of Measurements and the Investment Accelerator , 1989, Journal of Political Economy.

[18]  On the distribution of some test statistics for coefficient constancy , 1989 .

[19]  James D. Hamilton.  A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle , 1989 .

[20]  J. Stock,et al.  A Probability Model of the Coincident Economic Indicators , 1988 .

[21]  James D. Hamilton.  Rational-expectations econometric analysis of changes in regime: An investigation of the term structure of interest rates , 1988 .

[22]  P. Caines.  Linear Stochastic Systems , 1988 .

[23]  Piet de Jong,et al.  The likelihood for a state space model , 1988 .

[24]  Seiji Nabeya,et al.  Asymptotic Theory of a Test for the Constancy of Regression Coefficients Against the Random Walk Alternative , 1988 .

[25]  M. B. Priestley,et al.  Current developments in time series modelling , 1988 .

[26]  G. Kitagawa,et al.  Non-Gaussian State—Space Modeling of Nonstationary Time Series , 1987 .

[27]  A. Harvey,et al.  Advances in Econometrics: Applications of the Kalman filter in econometrics , 1987 .

[28]  J. Nash,et al.  Nonlinear parameter estimation: an integrated system in BASIC , 1987 .

[29]  Kent D. Wall,et al.  IDENTIFICATION THEORY FOR VARYING COEFFICIENT REGRESSION MODELS1 , 1987 .

[30]  Robert F. Engle,et al.  Advances in Econometrics: The Kalman filter: applications to forecasting and rational-expectations models , 1987 .

[31]  M. Aoki.  State Space Modeling of Time Series , 1987 .

[32]  James D. Hamilton.  A standard error for the estimated state vector of a state-space model , 1986 .

[33]  R. Kohn,et al.  Estimation, Prediction, and Interpolation for ARIMA Models with Missing Data , 1986 .

[34]  James D. Hamilton,et al.  Estimation of Unobserved Expected Monthly Inflation Using Kalman Filtering , 1986 .

[35]  D. Tjøstheim.  SOME DOUBLY STOCHASTIC TIME SERIES MODELS , 1986 .

[36]  James D. Hamilton.  Uncovering Financial Market Expectations of Inflation , 1985, Journal of Political Economy.

[37]  R. Kohn,et al.  Estimation, Filtering, and Smoothing in State Space Models with Incompletely Specified Initial Conditions , 1985 .

[38]  Robert F. Engle,et al.  Testing for Regression Coefficient Stability with a Stationary AR(1) Alternative , 1985 .

[39]  Lung-fei Lee,et al.  Serial correlation in latent discrete variable models , 1985 .

[40]  Adrian Pagan,et al.  16 Varying coefficient regression , 1985 .

[41]  Michel Gevers,et al.  Uniquely identifiable state-space and ARMA parametrizations for multivariable linear systems , 1984, Autom..

[42]  Andrew Harvey,et al.  Estimating Missing Observations in Economic Time Series , 1984 .

[43]  G. Chow,et al.  Chapter 21 Random and changing coefficient models , 1984 .

[44]  R. Engle,et al.  Alternative Algorithms for the Estimation of Dynamic Factor , 1983 .

[45]  A. Harvey,et al.  Forecasting Economic Time Series With Structural and Box-Jenkins Models: A Case Study , 1983 .

[46]  Robert B. Litterman,et al.  Forecasting and Conditional Projection Using Realistic Prior Distributions , 1983 .

[47]  Katsuto Tanaka,et al.  NON-NORMALITY OF THE LAGRANGE MULTIPLIER STATISTIC FOR TESTING THE CONSTANCY OF REGRESSION COEFFICIENTS , 1983 .

[48]  Nozer D. Singpurwalla,et al.  Understanding the Kalman Filter , 1983 .

[49]  Richard E. Quandt,et al.  COMPUTATIONAL PROBLEMS AND METHODS , 1983 .

[50]  Kent D. Wall,et al.  Kalman filtering estimation of unobserved rational expectations with an application to the German hyperinflation , 1982 .

[51]  R. Shumway,et al.  AN APPROACH TO TIME SERIES SMOOTHING AND FORECASTING USING THE EM ALGORITHM , 1982 .

[52]  B. Anderson,et al.  Optimal Filtering , 1979, IEEE Transactions on Systems, Man, and Cybernetics.

[53]  C. Sims.  Policy Analysis with Econometric Models , 1982 .

[54]  Michael R. Gibbons,et al.  Inflation, real returns and capital investment , 1982 .

[55]  H. White.  Maximum Likelihood Estimation of Misspecified Models , 1982 .

[56]  R. Engle,et al.  A One-Factor Multivariate Time Series Model of Metropolitan Wage Rates , 1981 .

[57]  Aman Ullah,et al.  Econometrics: A Varying Coefficients Approach , 1981 .

[58]  Richard H. Jones,et al.  Maximum Likelihood Fitting of ARMA Models to Time Series With Missing Observations , 1980 .

[59]  Adrian Pagan,et al.  Some identification and estimation results for regression models with stochastically varying coefficients , 1980 .

[60]  N. Kiefer.  A Note on Switching Regressions and Logistic Discrimination , 1980 .

[61]  K. Wall.  Generalized expectations modeling in macroeconometrics , 1980 .

[62]  M. Priestley.  STATE‐DEPENDENT MODELS: A GENERAL APPROACH TO NON‐LINEAR TIME SERIES ANALYSIS , 1980 .

[63]  Andrew Harvey,et al.  Maximum likelihood estimation of regression models with autoregressive-moving average disturbances , 1979 .

[64]  N. Kiefer.  Discrete Parameter Variation: Efficient Estimation of a Switching Regression Model , 1978 .

[65]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[66]  R. Davies.  Hypothesis testing when a nuisance parameter is present only under the alternative , 1977 .

[67]  S. Goldfeld,et al.  A Markov model for switching regressions , 1973 .

[68]  E. Hannan.  The Identification Problem for Multiple Equation Systems with Moving Average Errors , 1971 .

[69]  Michael D. Geurts,et al.  Time Series Analysis: Forecasting and Control , 1977 .

[70]  M. Degroot.  Optimal Statistical Decisions , 1970 .

[71]  L. Baum,et al.  A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains , 1970 .

[72]  R. E. Kalman,et al.  A New Approach to Linear Filtering and Prediction Problems , 2002 .

[73]  R. Quandt.  The Estimation of the Parameters of a Linear Regression System Obeying Two Separate Regimes , 1958 .