“Theory and Practice of Spatial Econometrics”
暂无分享,去创建一个
[1] J. Mcdonald,et al. A nonparametric analysis of employment density in a polycentric city , 1997 .
[2] J. Cooper,et al. Time-Varying Regression Coefficients: A Mixed Estimation Approach and Operational Limitations of The General Markov Structure , 1973 .
[3] Donald Geman,et al. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images , 1984 .
[4] Stanley R. Johnson,et al. Advanced Econometric Methods , 1984 .
[5] Noel A Cressie,et al. Statistics for Spatial Data. , 1992 .
[6] Jeremy MG Taylor,et al. Robust Statistical Modeling Using the t Distribution , 1989 .
[7] D. McMillen. PROBIT WITH SPATIAL AUTOCORRELATION , 1992 .
[8] John Geweke,et al. Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments , 1991 .
[9] David B. Dunson,et al. Bayesian Data Analysis , 2010 .
[10] D. Rubinfeld,et al. Hedonic housing prices and the demand for clean air , 1978 .
[11] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[12] David Lindley,et al. THE ESTIMATION OF MANY PARAMETERS , 1970 .
[13] D. McFadden. Econometric analysis of qualitative response models , 1984 .
[14] David A. Belsley,et al. Regression Analysis and its Application: A Data-Oriented Approach.@@@Applied Linear Regression.@@@Regression Diagnostics: Identifying Influential Data and Sources of Collinearity , 1981 .
[15] Marc Gaudry,et al. SPATIALLY AUTOCORRELATED ERRORS IN ORIGIN-DESTINATION MODELS: A NEW SPECIFICATION APPLIED TO URBAN TRAVEL DEMAND IN WINNIPEG , 1988 .
[16] G. Casella,et al. Explaining the Gibbs Sampler , 1992 .
[17] Adrian F. M. Smith,et al. Sampling-Based Approaches to Calculating Marginal Densities , 1990 .
[18] S. E. Hills,et al. Illustration of Bayesian Inference in Normal Data Models Using Gibbs Sampling , 1990 .
[19] Hrishikesh D. Vinod,et al. Recent Advances in Regression Methods. , 1983 .
[20] Hans J. Blommestein,et al. Elimination of circular routes in spatial dynamic regression equations , 1985 .
[21] Harry H. Kelejian,et al. Introduction to Econometrics: Principles and Applications , 1974 .
[22] Luc Anselin,et al. EFFICIENT ALGORITHMS FOR CONSTRUCTING PROPER HIGHER ORDER SPATIAL LAG OPERATORS , 1996 .
[23] M. Steel,et al. Benchmark Priors for Bayesian Model Averaging , 2001 .
[24] L. Anselin. Spatial Econometrics: Methods and Models , 1988 .
[25] J. Pasciak,et al. Computer solution of large sparse positive definite systems , 1982 .
[26] Phoebus J. Dhrymes,et al. Distributed Lags. Problems of Estimation and Formulation. , 1973 .
[27] Robert S. Pindyck,et al. Econometric models and economic forecasts / Robert S. Pindyck, Daniel L. Rubinfeld , 1981 .
[28] D. Rubinfeld,et al. Econometric models and economic forecasts , 2002 .
[29] A. Goldberger,et al. On Pure and Mixed Statistical Estimation in Economics , 1961 .
[30] J. Geweke,et al. Bayesian Treatment of the Independent Student- t Linear Model , 1993 .
[31] J. Keith Ord,et al. Spatial Processes Models and Applications , 1981 .
[32] A. Zellner. An Introduction to Bayesian Inference in Econometrics , 1971 .
[33] Michael D. Intriligator,et al. Econometric Models, Techniques, and Applications. , 1979 .
[34] Allan R. Wilks,et al. The new S language: a programming environment for data analysis and graphics , 1988 .
[35] Edward Leamer. Model choice and specification analysis , 1983 .
[36] Luc Anselin,et al. Estimation methods for spatial autoregressive structures. , 1980 .
[37] D. Bolduc,et al. Spatial Autoregressive Error Components in Travel Flow Models: An Application to Aggregate Mode Choice , 1995 .
[38] S. Chib. Bayes inference in the Tobit censored regression model , 1992 .
[39] Otis W. Gilley,et al. Using the Spatial Configuration of the Data to Improve Estimation , 1997 .
[40] Luc Anselin,et al. Do spatial effects really matter in regression analysis , 2005 .
[41] N. Metropolis,et al. Equation of State Calculations by Fast Computing Machines , 1953, Resonance.
[42] D. Madigan,et al. Bayesian Model Averaging for Linear Regression Models , 1997 .
[43] Alan E. Gelfand,et al. Bayesian statistics without tears: A sampling-resampling perspective , 1992 .
[44] Arturo Estrella,et al. A new measure of fit for equations with dichotomous dependent variables , 1998 .
[45] Jan Kmenta,et al. Elements of econometrics , 1988 .
[46] W. K. Hastings,et al. Monte Carlo Sampling Methods Using Markov Chains and Their Applications , 1970 .
[47] Phoebus J. Dhrymes,et al. Distributed Lags: Problems of Estimation and Formulation , 1972 .
[48] R. Dubin,et al. Estimating Logit Models with Spatial Dependence , 1995 .
[49] Emilio Casetti,et al. The econometric estimation and testing of DARP models , 1999, J. Geogr. Syst..
[50] Bruce Littlefield. The Student Edition of MATLAB: Version 5, User's Guide, the Math Works, INC. , 1997 .
[51] D. Bolduc,et al. Spatial autoregressive error components in travel flow models , 1992 .
[52] Harry H. Kelejian,et al. Spatial Correlation: A Suggested Alternative to the Autoregressive Model , 1995 .
[53] J. Ord,et al. Spatial Processes. Models and Applications , 1982 .
[54] J. LeSage. Bayesian Estimation of Spatial Autoregressive Models , 1997 .
[55] R. Kelley Pace,et al. Nonparametric methods with applications to hedonic models , 1993 .
[56] Otis W. Gilley,et al. On the Harrison and Rubinfeld Data , 1996 .
[57] S. Chib,et al. Bayesian analysis of binary and polychotomous response data , 1993 .
[58] Mark S. Pearce,et al. Geographically weighted regression: A method for exploring spatial nonstationarity , 1999 .
[59] Sylvia Richardson,et al. Markov Chain Monte Carlo in Practice , 1997 .
[60] Luc Anselin,et al. Small Sample Properties of Tests for Spatial Dependence in Regression Models: Some Further Results , 1995 .
[61] Daniel P. McMillen,et al. One Hundred Fifty Years of Land Values in Chicago: A Nonparametric Approach , 1996 .