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In this article, we consider weighted weak type $(1,1)$ inequality for certain square function associated to differences of ball averages and martingale in the non-commutative setting. This establishes a weighted version of main result of…

Functional Analysis · Mathematics 2025-06-19 Samya Kumar Ray , Diptesh Saha

We consider a setting where an agent's uncertainty is represented by a set of probability measures, rather than a single measure. Measure-bymeasure updating of such a set of measures upon acquiring new information is well-known to suffer…

Computer Science and Game Theory · Computer Science 2013-02-26 Joseph Y. Halpern , Samantha Leung

We consider a setting where an agent's uncertainty is represented by a set of probability measures, rather than a single measure. Measure-by-measure updating of such a set of measures upon acquiring new information is well-known to suffer…

Computer Science and Game Theory · Computer Science 2016-11-04 Joseph Y. Halpern , Samantha Leung

We give some new refinements and reverses Young inequalities in both additive-type and multiplicative-type for two positive numbers/operators. We show our advantages by comparing with known results. A few applications are also given. Some…

Functional Analysis · Mathematics 2018-03-26 Shigeru Furuichi , Hamid Reza Moradi

Causal or unconfounded descriptive comparisons between multiple groups are common in observational studies. Motivated from a racial disparity study in health services research, we propose a unified propensity score weighting framework, the…

Methodology · Statistics 2019-07-10 Fan Li , Fan Li

Composite indicators aggregate a set of variables using weights which are understood to reflect the variables' importance in the index. In this paper we propose to measure the importance of a given variable within existing composite…

Applications · Statistics 2018-08-02 Paolo Paruolo , Andrea Saltelli , Michaela Saisana

When examining a contrast between two interventions, longitudinal causal inference studies frequently encounter positivity violations when one or both regimes are impossible to observe for some subjects. Existing weighting methods either…

Methodology · Statistics 2025-08-11 Alec McClean , Iván Díaz

In this paper, we discuss new inequalities for accretive matrices through non standard domains. In particular, we present several relations for $A^r$ and $A\sharp_rB$, when $A,B$ are accretive and $r\in (-1,0)\cup (1,2).$ This complements…

Functional Analysis · Mathematics 2020-07-20 Yassine Bedrani , Fuad Kittaneh , Mohammed Sababheh

This paper was prepared as a comment on "Dynamic Causal Effects in a Nonlinear World: the Good, the Bad, and the Ugly" by Michal Koles\'{a}r and Mikkel Plagborg-M{\o}ller. We make three comments, including a novel contribution to the…

Econometrics · Economics 2025-07-01 Toru Kitagawa , Weining Wang , Mengshan Xu

The aim of this paper is to analyze the weighted KyFan inequality proposed in [11]. A number of numerical simulations involving the exponential weighted function is given. We show that in several cases and types of examples one can imply an…

Information Theory · Computer Science 2015-04-07 Yuri Suhov , Salimeh Yasaei Sekeh

Comment: Struggles with Survey Weighting and Regression Modeling [arXiv:0710.5005]

Methodology · Statistics 2009-09-29 Danny Pfeffermann

Comment: Struggles with Survey Weighting and Regression Modeling [arXiv:0710.5005]

Methodology · Statistics 2007-11-06 Sharon L. Lohr

Comment: Struggles with Survey Weighting and Regression Modeling [arXiv:0710.5005]

Methodology · Statistics 2009-09-29 Roderick J. Little

Comment: Struggles with Survey Weighting and Regression Modeling [arXiv:0710.5005]

Methodology · Statistics 2007-11-06 F. Jay Breidt , Jean D. Opsomer

Comment: Struggles with Survey Weighting and Regression Modeling [arXiv:0710.5005]

Methodology · Statistics 2009-09-29 Robert M. Bell , Michael L. Cohen

Imputing missing values is an important preprocessing step in data analysis, but the literature offers little guidance on how to choose between different imputation models. This letter suggests adopting the imputation model that generates a…

Methodology · Statistics 2021-07-13 Moritz Marbach

In this paper, we propose a model averaging approach for addressing model uncertainty in the context of partial linear functional additive models. These models are designed to describe the relation between a response and mixed-types of…

Methodology · Statistics 2023-06-12 Shishi Liu , Jingxiao Zhang

We consider a general statistical linear inverse problem, where the solution is represented via a known (possibly overcomplete) dictionary that allows its sparse representation. We propose two different approaches. A model selection…

Methodology · Statistics 2017-10-31 Felix Abramovich , Daniela De Canditiis , Marianna Pensky

We correct a mistake in the paper ["On weighted iterated Hardy-type inequalities", Positivity, 22 (1) (2018), 275-299]. -- In this paper the inequality $$ \bigg( \int_0^{\infty} \bigg( \int_x^{\infty} \bigg( \int_t^{\infty} h \bigg)^q…

Functional Analysis · Mathematics 2022-05-24 Rza Mustafayev

Weighting procedures are used in observational causal inference to adjust for covariate imbalance within the sample. Common practice for inference is to estimate robust standard errors from a weighted regression of outcome on treatment.…

Methodology · Statistics 2025-07-29 Erin Hartman , Chad Hazlett , Arisa Sadeghpour