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Economic Modeling and Inference takes econometrics to a new level by demonstrating how to combine modern economic theory with the latest statistical inference methods to get the most out of economic data. This graduate-level textbook draws applications from both microeconomics and macroeconomics, paying special attention to financial and labor economics, with an emphasis throughout on what observations can tell us about stochastic dynamic models of rational optimizing behavior and equilibrium. Bent Jesper Christensen and Nicholas Kiefer show how parameters often thought estimable in applications are not identified even in simple dynamic programming models, and they investigate the roles of extensions, including measurement error, imperfect control, and random utility shocks for inference. When all implications of optimization and equilibrium are imposed in the empirical procedures, the resulting estimation problems are often nonstandard, with the estimators exhibiting nonregular asymptotic behavior such as short-ranked covariance, superconsistency, and non-Gaussianity. Christensen and Kiefer explore these properties in detail, covering areas including job search models of the labor market, asset pricing, option pricing, marketing, and retirement planning. Ideal for researchers and practitioners as well as students, Economic Modeling and Inference uses real-world data to illustrate how to derive the best results using a combination of theory and cutting-edge econometric techniques.Covers identification and estimation of dynamic programming models Treats sources of error--measurement error, random utility, and imperfect control Features financial applications including asset pricing, option pricing, and optimal hedging Describes labor applications including job search, equilibrium search, and retirement Illustrates the wide applicability of the approach using micro, macro, and marketing examples
Quantitative methods (economics) --- Econometric models --- Economics --- Statistical methods --- Mathematical models --- AA / International- internationaal --- 330.3 --- 303.6 --- 305.971 --- -Economics --- -330.015195 --- Economic theory --- Political economy --- Social sciences --- Economic man --- Econometrics --- Methode in staathuishoudkunde. Statische, dynamische economie. Modellen. Experimental economics. --- Raming : theorie (wiskundige statistiek). Bayesian analysis and inference. --- Speciale gevallen in econometrische modelbouw. --- Econometric models. --- Modèles économétriques. --- Économie politique --- Statistical methods. --- Mathematical models. --- Méthodes statistiques. --- Modèles mathématiques. --- Modèles mathématiques --- 330.015195 --- Economic statistics --- Economics, Mathematical --- Raming : theorie (wiskundige statistiek). Bayesian analysis and inference --- Speciale gevallen in econometrische modelbouw --- Methode in staathuishoudkunde. Statische, dynamische economie. Modellen. Experimental economics --- BUSINESS & ECONOMICS / Econometrics. --- Bayes estimate. --- Bellman equation. --- Brownian motion. --- CAPM. --- Euler equations. --- Feller Property. --- Fourier frequency. --- actions. --- ancillarity. --- annealing. --- arbitrage. --- asset allocation. --- asymmetric information. --- asymptotics. --- autocorrelation. --- auxiliary model. --- average reward. --- backwardation. --- baseline hazard. --- bimodality. --- bipower variation. --- bond. --- budget constraint. --- business cycle. --- cash flow. --- censoring. --- complexity. --- compounding. --- concavity. --- consistent drift condition. --- consumption. --- continuation region. --- contraction mapping theorem. --- convenience yield. --- debt-equity ratio. --- degeneracy. --- delivery. --- discount function. --- dynamic programming. --- efficiency. --- electricity. --- employment. --- encompassing. --- expected utility. --- factor loading. --- fiscal policy. --- growth model. --- hazard function. --- heavy-tailed distribution. --- hedging. --- instrumental variable. --- intertemporal substitution. --- Econometrische analyse. --- Economische modellen. --- Economics - Statistical methods --- Economics - Mathematical models --- Modèles économétriques. --- Économie politique --- Méthodes statistiques. --- Modèles mathématiques --- Modèles mathématiques.
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This book offers a compilation for experts, scholars, and researchers to present the most recent advancements, from theoretical methods to the applications of sophisticated fault diagnosis techniques. The deep learning methods for analyzing and testing complex mechanical systems are of particular interest. Special attention is given to the representation and analysis of system information, operating condition monitoring, the establishment of technical standards, and scientific support of machinery fault diagnosis.
Technology: general issues --- History of engineering & technology --- process monitoring --- dynamics --- variable time lag --- dynamic autoregressive latent variables model --- sintering process --- hammerstein output-error systems --- auxiliary model --- multi-innovation identification theory --- fractional-order calculus theory --- canonical variate analysis --- disturbance detection --- power transmission system --- k-nearest neighbor analysis --- statistical local analysis --- intelligent fault diagnosis --- stacked pruning sparse denoising autoencoder --- convolutional neural network --- anti-noise --- flywheel fault diagnosis --- belief rule base --- fuzzy fault tree analysis --- Bayesian network --- evidential reasoning --- aluminum reduction process --- alumina concentration --- subspace identification --- distributed predictive control --- spatiotemporal feature fusion --- gated recurrent unit --- attention mechanism --- fault diagnosis --- evidential reasoning rule --- system modelling --- information transformation --- parameter optimization --- event-triggered control --- interval type-2 Takagi–Sugeno fuzzy model --- nonlinear networked systems --- filter --- gearbox fault diagnosis --- convolution fusion --- state identification --- PSO --- wavelet mutation --- LSSVM --- data-driven --- operational optimization --- case-based reasoning --- local outlier factor --- abnormal case removal --- bearing fault detection --- deep residual network --- data augmentation --- canonical correlation analysis --- just-in-time learning --- fault detection --- high-speed trains --- autonomous underwater vehicle --- thruster fault diagnostics --- fault tolerant control --- robust optimization --- ocean currents --- n/a --- interval type-2 Takagi-Sugeno fuzzy model
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