Statistical Inference in Stochastic Processes

Prabhu, N. U.

  • 出版商: CRC
  • 出版日期: 2019-10-17
  • 售價: $2,990
  • 貴賓價: 9.5$2,841
  • 語言: 英文
  • 頁數: 288
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0367403072
  • ISBN-13: 9780367403072
  • 海外代購書籍(需單獨結帳)

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Covering both theory and applications, this collection of eleven contributed papers surveys the role of probabilistic models and statistical techniques in image analysis and processing, develops likelihood methods for inference about parameters that determine the drift and the jump mechanism of a di

目錄大綱

1. Statistical Models and Methods in Image Analysis: A Survey. 2. Edge-Preserving Smoothing and the Assessment of Point Process Models for GATE Rainfall Fields. 3. Likelihood Methods for Diffusions with Jumps. 4. Efficient Estimating Equations for Nonparametric Filtered Models. 5. Nonparametric Estimation of Trends in Linear Stochastic Systems. 6. Weak Convergence of Two-Sided Stochastic Integrals, with an Application to Models for Left Truncated Survival Data. 7. Asymptotic Theory of Weighted Maximum Likelihood Estimation for Growth Models. 8. Markov Chain Models for Type-Token Relationships. 9. A State-Space Approach to Transfer-Function Modelling. 10. Shrinkage Estimation for a Dynamic Input-Output Linear Model. 11. Maximum Probability Estimation for an Autoregressive Process