Statistical Inference in Stochastic Processes
暫譯: 隨機過程中的統計推斷

Prabhu, N. U.

Statistical Inference in Stochastic Processes
  • 出版商: CRC
  • 出版日期: 2019-10-17
  • 售價: $2,910
  • 貴賓價: 9.5 折 $2,765
  • 語言: 英文
  • 頁數: 288
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0367403072
  • ISBN-13: 9780367403072
  • 相關分類: 機率統計學 Probability-and-statistics

    • 海外代購書籍(需單獨結帳)

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商品描述

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

商品描述(中文翻譯)

涵蓋理論與應用，這本由十一篇貢獻論文組成的合集調查了機率模型和統計技術在影像分析與處理中的角色，並發展了用於推斷決定漂移和跳躍機制參數的似然方法。

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

目錄大綱(中文翻譯)

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

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