欢迎来到天天文库
浏览记录
ID:40403454
大小:729.21 KB
页数:84页
时间:2019-08-01
《state_space_script版本》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、AnIntroductiontoStateSpaceModelsMarcWildiMay6,2013Contents1Introduction21.1Model-Equations:StateandObservationEquations.................31.2ModelAssumptions...................................32StochasticLevelandTrendModels42.1ConstantLevel......................................42.
2、2ChangingLevel......................................52.2.1Exercises.....................................62.3ChangingLevelandSlope................................72.3.1Exercices.....................................93ARMA-ProcessesinStateSpaceForm103.1AR-Process....................
3、....................103.2MA-Process........................................123.3ARMA-Process......................................133.4Exercises.........................................144TheKalman-Filter144.1TheRecursion......................................154.2InitializingtheK
4、almanFilter..............................164.2.1MA(1)-Process..................................174.2.2AR(1)-Process..................................174.2.3TheDiusePrior.................................175Optimization185.1Example:ARMA-Model.................................185.2L
5、east-Squares.......................................185.3MaximumLikelihood...................................185.4In-Samplevs.Out-of-SampleCriteria.........................195.5ExercisesPartI:ConstantLevel............................205.6ExercisesPartII:ChangingLevelandOptimizatio
6、nCriteria............265.7ExercisesPartIII:theQ/RRatio............................285.8ExercisesPartIV:Optimization............................306RegressionAnalysis336.1ClassicalFixedCoecientsRegression.........................336.2AdaptiveRegression.............................
7、......346.3AMoreGeneralKF-Code................................346.4Exercises.........................................366.4.1Exercises:ReplicatingtheClassical(FixedCoecient)RegressionModel.376.4.2Exercises:AdaptiveRegression.........................4017Forecasting,SmoothingandInt
8、erpolation447.1Forecasting..............
此文档下载收益归作者所有