Mixture and Hidden Markov Models with R

前言。- 簡介與前提條件。- 2 混合模型和潛在類別模型。- 3 混合模型和潛在類別模型：應用。- 4 隱藏馬可夫模型。- 5 單變量隱藏馬可夫模型。- 6 多變量隱藏馬可夫模型。- 7 擴展。- 參考文獻。- 索引。- 結語。

Ingmar Visser is Associate Professor of Developmental Psychology at the Department of Psychology, University of Amsterdam, where he also obtained his PhD after studying philosophy of language, mathematics and psychology. His research revolves around studying the dynamics of learning and development in all stages of development and in developing statistical methods for optimally mapping such development.
Maarten Speekenbrink is Associate Professor of Mathematical Psychology at the Department of Experimental Psychology, University College London, and Fellow of the Alan Turing Institute, the UK national institute for data science and artificial intelligence. He obtained his PhD in Psychological Methods at the University of Amsterdam.
Together, the authors developed the depmixS4 package, which already has a large user base in different areas of science. They have authored articles on the theory and use of hidden Markov models, and have given numerous talks and workshops on mixture and hidden Markov modelling.

Ingmar Visser是阿姆斯特丹大學心理學系的發展心理學副教授，他在研究語言哲學、數學和心理學後獲得博士學位。他的研究主要圍繞在發展的各個階段中學習和發展的動態，並開發統計方法來最佳地映射這種發展。

Maarten Speekenbrink是倫敦大學學院實驗心理學系的數學心理學副教授，也是英國國家數據科學和人工智能研究所Alan Turing Institute的研究員。他在阿姆斯特丹大學獲得心理學方法學的博士學位。

這兩位作者共同開發了depmixS4軟體包，該軟體包已在不同科學領域擁有大量使用者。他們撰寫了關於隱馬可夫模型的理論和應用的文章，並在混合模型和隱馬可夫模型方面進行了許多演講和工作坊。