Reflections on the Foundations of Probability and Statistics: Essays in Honor of Teddy Seidenfeld
暫譯: 機率與統計基礎的反思:致敬於Teddy Seidenfeld的論文集
Augustin, Thomas, Cozman, Fabio Gagliardi, Wheeler, Gregory
- 出版商: Springer
- 出版日期: 2024-01-15
- 售價: $5,260
- 貴賓價: 9.5 折 $4,997
- 語言: 英文
- 頁數: 346
- 裝訂: Quality Paper - also called trade paper
- ISBN: 303115438X
- ISBN-13: 9783031154386
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相關分類:
機率統計學 Probability-and-statistics
海外代購書籍(需單獨結帳)
商品描述
商品描述(中文翻譯)
本書慶祝Teddy Seidenfeld及其在哲學、統計學、機率論、博弈論及相關領域的開創性貢獻。本卷中的13篇文章由這些領域的領先研究者撰寫,並附有對Teddy Seidenfeld的訪談,提供了一段簡短的知識自傳,觸及有關真理與不確定性的永恆主題。事實上,正如著名哲學家Isaac Levi在本書中所寫:「在一個被替代事實和假新聞主導的世界中,很難相信我們中的許多人,如同Teddy Seidenfeld一樣,將一生的工作投入於討論真理與不確定性。」讀者被邀請共同慶祝Teddy Seidenfeld在揭示不確定性真相方面的工作,以及這些真相對我們在面對不確定性時共同追求真理所提供的深刻見解。
作者簡介
Thomas Augustin is Professor of Statistics at Ludwig-Maximilians-Universität München (LMU Munich), where he heads the "Foundations of Statistics and their Applications" Lab. His research interest is to develop set-valued methods for reliable statistical inference, decision making, and machine learning. For this, he utilizes
concepts from imprecise probabilities and partial identification to cope with different kinds of complex uncertainty, like non-randomly missing or coarsened data, non-standard measurement error, ambiguity,
conflicting information, and structural model indeterminacy.
Fabio G. Cozman is Professor of Computer Science at Escola Politécnica, Universidade de São Paulo (USP), Director of the Center for Artificial Intelligence at USP, with an interest in machine learning and knowledge/uncertainty representation. Engineer (USP) and PhD (Carnegie Mellon University, USA), he has served as Program and General Chair of the Conference on Uncertainty in Artificial Intelligence, Area Chair of the International Joint Conference on Artificial Intelligence, and Associate Editor of the Artificial Intelligence Journal, the Journal of Artificial Intelligence Research, and the Journal of Approximate Reasoning.
Gregory Wheeler is Professor of Philosophy and Computer Science at Frankfurt School of Finance & Management, where he heads the Center for Human & Machine Intelligence and is Academic Director of the Master of Applied Data Science program. His research interests concern the foundations of probability, bounded rationality, and decision-making under uncertainty involving underspecified models, conflicting information, computational resource bounds, and indeterminacy. He also co-founded Exaloan AG, a Frankfurt-based financial services software company, where he is Head of Machine Learning.
作者簡介(中文翻譯)
托馬斯·奧古斯丁是慕尼黑路德維希-馬克西米利安大學(LMU Munich)統計學教授,負責「統計學基礎及其應用」實驗室。他的研究興趣在於開發集值方法,以進行可靠的統計推斷、決策制定和機器學習。為此,他利用不精確概率和部分識別的概念來應對各種複雜的不確定性,例如非隨機缺失或粗糙數據、非標準測量誤差、模糊性、衝突信息和結構模型的不確定性。
法比奧·G·科茲曼是聖保羅大學(USP)理工學院的計算機科學教授,並擔任USP人工智慧中心的主任,對機器學習和知識/不確定性表示有興趣。他擁有聖保羅大學的工程學位和卡內基梅隆大學(美國)的博士學位,曾擔任人工智慧不確定性會議的程序主席和總主席,國際人工智慧聯合會議的區域主席,以及《人工智慧期刊》、《人工智慧研究期刊》和《近似推理期刊》的副編輯。
格雷戈里·惠勒是法蘭克福金融與管理學院的哲學與計算機科學教授,負責人類與機器智慧中心,並擔任應用數據科學碩士課程的學術主任。他的研究興趣涉及概率的基礎、有限理性以及在不確定性下的決策制定,這些涉及未具體化模型、衝突信息、計算資源限制和不確定性。他還共同創立了Exaloan AG,這是一家位於法蘭克福的金融服務軟體公司,並擔任機器學習部門的負責人。