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Practical valid inferences for the two-sample binomial problem

Michael P. Fay, Sally A. Hunsberger
2021 Statistics Survey  
This apparently simple problem was addressed by Fisher in the 1930's, and has been the subject of many review papers since then.  ...  For example, we consider whether a p-value and its matching confidence interval are compatible, meaning that the p-value rejects at level α if and only if the 1 − α confidence interval excludes all null  ...  Acknowledgments The authors thank Erica Brittain and anonymous reviewers for comments that improved the paper.  ... 
doi:10.1214/21-ss131 fatcat:rxltzwpn5zb35hlnyzjhwxytoy

Distributed Inference in the Presence of Eavesdroppers: A Survey [article]

Bhavya Kailkhura, V. Sriram Siddhardh Nadendla, Pramod K. Varshney
2015 arXiv   pre-print
The distributed inference framework comprises of a group of spatially distributed nodes which acquire observations about a phenomenon of interest.  ...  This paper addresses the problem of secure communication in the presence of eavesdroppers. In particular, we focus on efficient mitigation schemes to mitigate the impact of eavesdropping.  ...  We first introduce a taxonomy in Section II where we present a survey on the state-of-the-art on secrecy in distributed inference networks.  ... 
arXiv:1502.05448v1 fatcat:2s5447cfw5g7ncrm2xea2me7km

The Residence History Inference Problem [article]

Derek Ruths, Caitrin Armstrong
2020 arXiv   pre-print
Here, we formalize the residence assignment problem, which seeks, under constraints associated with the minimum length-of-stay at a residence, the most parsimonious sequence of residence periods and places  ...  Prior work on this topic has skirted the underlying computational modeling of residence inference, focusing on migration patterns themselves.  ...  This problem is effectively a latent attribute inference task where the observational data is giving signal about where the The Residence Inference Problem Inputs: • Location history, H = h 1 , h 2 , .  ... 
arXiv:2003.04155v1 fatcat:ve6pjvgex5ahtbl3k7w6onpz3q

Inference in the Presence of Weak Instruments: A Selected Survey

D. S. Poskitt
2013 Foundations and Trends in Econometrics  
Editorial Scope Foundations and Trends R in Econometrics publishes survey and tutorial articles in the following topics: • Introduction This survey is concerned with inference in the linear simultaneous  ...  For example, Forchini and Hillier (2003) explore the relationship between weak instruments and the Fieller-Creasy problem; see Fieller (1954) ; Creasy (1954) and, for a modern treatment, Koschat  ... 
doi:10.1561/0800000017 fatcat:6eg4vtxpx5fe5ajf3b2djqg5jm

The Inference Problem and Pervasive Computing

Catherine Ann Dwyer
2009 Social Science Research Network  
A potential solution to this impasse may be found in a privacy condition from the data mining literature known as the -inference problem.‖ The inference problem occurs in data mining when confidential  ...  Privacy issues within pervasive computing systems are most acute when they involve a variation of the inference problem.  ...  THE INFERENCE PROBLEM IN DATA MINING The inference problem has been recognized as a security and privacy issue for databases since the 1970s (Denning, 1982; Denning and Denning, 1979) .  ... 
doi:10.2139/ssrn.1508513 fatcat:koqg2knlvnhcfkr5bokkx5zkb4

Glassy Nature of the Hard Phase in Inference Problems

Fabrizio Antenucci, Silvio Franz, Pierfrancesco Urbani, Lenka Zdeborová
2019 Physical Review X  
In this work we study the metastable branch for a prototypical inference problem, the low-rank matrix factorization, that presents a hard phase.  ...  An algorithmically hard phase was described in a range of inference problems: even if the signal can be reconstructed with a small error from an information theoretic point of view, known algorithms fail  ...  For a range of inference problems the Bayesian inference naturally leads to statistical physics of systems with disorder, see e.g. [1] .  ... 
doi:10.1103/physrevx.9.011020 fatcat:4xuctkdrh5bpfew5ycfpomerxe

COSMIC BIRTH: Efficient Bayesian Inference of the Evolving Cosmic Web from Galaxy Surveys [article]

Francisco-Shu Kitaura, Metin Ata, Sergio A. Rodriguez-Torres, Monica Hernandez-Sanchez, A. Balaguera-Antolinez, Gustavo Yepes
2020 arXiv   pre-print
galaxy surveys on the light-cone.  ...  This allows us to map galaxies, observed in a light-cone, to a single high redshift and hereby provide tracers and the corresponding survey completeness in Lagrangian space including phase-space mapping  ...  MA thanks for the hospitality at the IAC and support from the Kavli IPMU fellowship. MHS acknowledges the residente grant at IAC.  ... 
arXiv:1911.00284v2 fatcat:czbsgmmnobgubkkgjnxzdnudea

The Complexity of Some Topological Inference Problems

Shmuel Weinberger
2013 Foundations of Computational Mathematics  
In recent years, there has been a growing amount of work, with a number of notable successes (see, e.g., the surveys [6, 14, 19 ] and the book [38] for an overview, and the recent paper [29] for an outstanding  ...  We give some lower bounds on the description, sample, and computational complexities of the problems of computing dimension, homology, and topological type of a manifold, and detecting singularities for  ...  As noted above, it is a consequence of the known positive results on the topological inference problem (e.g., [3, 11, 17, 28] ) that the embedded data analysis problem has only an exp(V ) growth, not the  ... 
doi:10.1007/s10208-013-9152-1 fatcat:xk65try6knbbbkyv3gwdoh7sye

The syntactic inference problem for dol-sequences [chapter]

P. G. Doucet
1974 Lecture Notes in Computer Science  
The syntactic inference problem consists of deciding, for a given set of words~ whether there exists a grammar such that its language includes these given words; and also of actually finding any such grammars  ...  In this paper, the problem is considered for DOL-systems. The stress is on the second, constructive, part of the problem. The initial information may have various forms.  ...  basic inference problem from section 3). 7.  ... 
doi:10.1007/3-540-06867-8_12 fatcat:hqkbry52fjetfizthcauz5675y

Context in problem solving: a survey

Patrick Brézillon
1999 Knowledge engineering review (Print)  
We present in this paper a survey of the literature dealing directly and explicitly with context whatever the domain is. This permits us to have a clear view of the context in AI.  ...  One of the conclusions of this survey is to point out the existence of different types of context along knowledge representation, the mechanisms of reasoning on the knowledge, and the interaction of the  ...  The context of our survey on context is for the cooperative problem solving by a human and a machine.  ... 
doi:10.1017/s0269888999141018 fatcat:mt2pv42kobb3xjwxjcz4piyzne

On a Classification of the Problems of Statistical Inference

W. Edwards Deming
1942 Journal of the American Statistical Association  
the problems of statistical inference.  ...  -On CLASSIFICATION OF PROBLEMS OF STATISTICAL INFERENCE 175 An experiment or survey (such as a census) should be designed to provide evidence on which to evaluate the degree of belief in the pre- dictions  ... 
doi:10.1080/01621459.1942.10500624 fatcat:tcpr7d5m45gjjgrsw2ne6ngwvm

On a Classification of the Problems of Statistical Inference

W. Edwards Deming
1942 Journal of the American Statistical Association  
doi:10.2307/2279212 fatcat:xjn73oqadre2ndgnqupikyzhde

From one environment to many: The problem of replicability of statistical inferences [article]

James J. Higgins, Michael J. Higgins, Jinguang Lin
2020 arXiv   pre-print
Our framework is that of an initial experiment that generates the data and a follow-up experiment that is done the same way except for a change in the research environment.  ...  We assume that the initial experiment satisfies the assumptions of the two-sample t-statistic and that the follow-up experiment is described by a mixed model which includes environmental parameters.  ...  problems (Chawla 2017) .  ... 
arXiv:1904.10036v3 fatcat:uz5d4dyt25bq5l5hhx2nkkhj24

Publication Bias (The "File-Drawer Problem") in Scientific Inference [article]

Jeffrey D. Scargle
1999 arXiv   pre-print
Such certainty is virtually impossible to achieve in literature surveys.  ...  Publication bias arises whenever the probability that a study is published depends on the statistical significance of its results.  ...  Applied Scientific Inference. Journal of Scientific Exploration, Vol. 8, No. 4, pp. 491-508. This manuscript was prepared with the AAS L A T E X macros v4.0.  ... 
arXiv:physics/9909033v1 fatcat:afbmwuymk5dhbfli67r7zp23yu

Distributed Constraint Optimization Problems and Applications: A Survey

Ferdinando Fioretto, Enrico Pontelli, William Yeoh
2018 The Journal of Artificial Intelligence Research  
structure of the specific problem.  ...  This survey provides an overview of the DCOP model, offering a classification of its multiple extensions and addressing both resolution methods and applications that find a natural mapping within each  ...  Acknowledgments The authors would like to thank the anonymous reviewers for their valuable comments and suggestions to improve the quality of the paper.  ... 
doi:10.1613/jair.5565 fatcat:zeou5gji5fas3h27ab4jxvtwkq
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