Statistical Inference via Convex Optimization最新文献

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List of Figures 数字一览表
Statistical Inference via Convex Optimization Pub Date : 2020-04-07 DOI: 10.2307/j.ctvqsdxqd.3
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引用次数: 0
About Proofs 关于证明
Statistical Inference via Convex Optimization Pub Date : 2020-04-07 DOI: 10.1515/9780691200316-005
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引用次数: 0
Notational Conventions 符号约定
Statistical Inference via Convex Optimization Pub Date : 2020-04-07 DOI: 10.2307/j.ctvqsdxqd.6
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引用次数: 0
Appendix: 附录:
Statistical Inference via Convex Optimization Pub Date : 2020-04-07 DOI: 10.2307/j.ctvqsdxqd.15
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引用次数: 0
Index 指数
Statistical Inference via Convex Optimization Pub Date : 2020-04-07 DOI: 10.2307/j.ctvqsdxqd.17
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引用次数: 0
On Computational Tractability 论计算可溯性
Statistical Inference via Convex Optimization Pub Date : 2020-04-07 DOI: 10.2307/j.ctvqsdxqd.8
Neil Rhodes, F. Sullivan, C. Babbage, Jon Bentley
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引用次数: 0
Sparse Recovery via ℓ1 Minimization 基于最小化的稀疏恢复
Statistical Inference via Convex Optimization Pub Date : 2019-09-24 DOI: 10.2307/j.ctvqsdxqd.9
J. Stillwell
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引用次数: 0
From Hypothesis Testing to Estimating Functionals 从假设检验到函数估计
Statistical Inference via Convex Optimization Pub Date : 2019-09-24 DOI: 10.2307/j.ctvqsdxqd.11
J. Stillwell
{"title":"From Hypothesis Testing to Estimating Functionals","authors":"J. Stillwell","doi":"10.2307/j.ctvqsdxqd.11","DOIUrl":"https://doi.org/10.2307/j.ctvqsdxqd.11","url":null,"abstract":"This chapter prepares the reader's mind for reverse mathematics. As its name suggests, reverse mathematics seeks not theorems but the right axioms to prove theorems already known. Reverse mathematics began as a technical field of mathematical logic, but its main ideas have precedents in the ancient field of geometry and the early twentieth-century field of set theory. In geometry, the parallel axiom is the right axiom to prove many theorems of Euclidean geometry, such as the Pythagorean theorem. Set theory offers a more modern example: base theory called ZF, a theorem that ZF cannot prove (the well-ordering theorem) and the “right axiom” for proving it—the axiom of choice. From these and similar examples one can guess at a base theory for analysis, and the “right axioms” for proving some of its well-known theorems.","PeriodicalId":119327,"journal":{"name":"Statistical Inference via Convex Optimization","volume":"1037 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116270493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Signal Recovery by Linear Estimation 线性估计的信号恢复
Statistical Inference via Convex Optimization Pub Date : 2019-09-24 DOI: 10.2307/j.ctvqsdxqd.12
J. Stillwell
{"title":"Signal Recovery by Linear Estimation","authors":"J. Stillwell","doi":"10.2307/j.ctvqsdxqd.12","DOIUrl":"https://doi.org/10.2307/j.ctvqsdxqd.12","url":null,"abstract":"This chapter develops the basic results of computability theory, many of which are about noncomputable sequences and sets, with the goal of revealing the limits of computable analysis. Two of the key examples are a bounded computable sequence of rational numbers whose limit is not computable, and a computable tree with no computable infinite path. Computability is an unusual mathematical concept, because it is most easily used in an informal way. One often talks about it in terms of human activities, such as making lists, rather than by applying a precise definition. Nevertheless, there is a precise definition of computability, so this informal description of computations can be formalized.","PeriodicalId":119327,"journal":{"name":"Statistical Inference via Convex Optimization","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121353833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Solutions to Selected Exercises 选定练习的解决方案
Statistical Inference via Convex Optimization Pub Date : 2019-09-24 DOI: 10.23943/princeton/9780691197296.003.0006
J. Stillwell
{"title":"Solutions to Selected Exercises","authors":"J. Stillwell","doi":"10.23943/princeton/9780691197296.003.0006","DOIUrl":"https://doi.org/10.23943/princeton/9780691197296.003.0006","url":null,"abstract":"This chapter develops the basic results of computability theory, many of which are about noncomputable sequences and sets, with the goal of revealing the limits of computable analysis. Two of the key examples are a bounded computable sequence of rational numbers whose limit is not computable, and a computable tree with no computable infinite path. Computability is an unusual mathematical concept, because it is most easily used in an informal way. One often talks about it in terms of human activities, such as making lists, rather than by applying a precise definition. Nevertheless, there is a precise definition of computability, so this informal description of computations can be formalized.","PeriodicalId":119327,"journal":{"name":"Statistical Inference via Convex Optimization","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121115182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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