... and distributed under the terms of the Oxford University Press, Standard Journals Publication Model ( https://dbpia.nl.go.kr/pages/standard-publication-reuse-rights ) Abstract We propose a monotone and consistent numerical scheme for the approximation of the Dirichlet problem for the normalized infinity...

... ( 1991 ). Relaxing global monotonicity to LM or LCD, we estimate statistically significant proportions of both compliers and defiers and positive returns to college of similar size in both groups. We also find that defiers outnumber compliers in upper parts of the potential wage distribution. This can...

... in the mediator values (in the case of the direct effect). Natural direct and indirect effects are not generally point-identified in the presence of a treatment-induced confounder; however, they may be identified if one is willing to assume monotonicity between the treatment and the treatment-induced confounder...

... of the proposed method is what I will refer to as a “monotonicity” assumption. In the paper, this is phrased as “We assume that higher values of are associated with larger treatment effects,” although more precisely this is a nondecreasing assumption (as the null scenario permits no association between...

...) and L 2 estimation error, which are closely linked. In a case study on raw and post-processed quantitative precipitation forecasts from a leading numerical weather prediction system, IDR is competitive with state of the art techniques. conditional distribution estimation monotonicity...

... ′ , D ′ ) ageing invalid Instruments local average treatment effect memory monotonicity Restrictions partial Identification Regression Discontinuity Retirement In recent years, there has been a trend towards early retirement, which has increased the number of retirees per worker. This trend...

... is contrarian, leaning against the myopically more popular actions in every period. We make two technical contributions: as value functions with learning are not smooth, we use monotone comparative statics under uncertainty to deduce optimal dynamic behaviour. We also adapt dynamic pivot mechanisms to Bayesian...

...—observable substitutability, observable size monotonicity, and non-manipulability via contractual terms—and show that when these conditions are satisfied, the cumulative offer mechanism is the unique mechanism that is stable and strategy-proof (for workers). Moreover, we show that our three conditions...

...-parametric inference on a monotone dose–response curve when the exposure–outcome relationship is confounded is more difficult to tackle and is the focus of this paper. To the best of our knowledge, this problem has not been comprehensively studied before. The prototypical data unit that we consider...

... conducted only for the semidiscrete versions. Here, strong stability (also known as monotonicity) of explicit Runge–Kutta methods for ODEs with nonlinear and semibounded (also known as dissipative) operators is investigated. Contrary to the linear case it is proven that many strong-stability-preserving (SSP...

... to develop a generalized proof search technique that allows to automatically deal with context-sensitive deductions and non-monotonic reasoning. Finally, we present the implementation of a theorem prover that can be used to automatically verify biological pathways expressed as logical sequents. Linear logic...

...) and the method of plurality. For a three-candidate election, we characterize when an AV election can violate monotonicity. We use this characterization to show that the compound procedure is no more likely (and for certain numbers of voters, strictly less likely) to produce an election that can violate...

... light on the monotonicity of dual regression solutions, when there are no repeated values. For with , the no-crossing property of conditional quantiles requires that \[ \beta(u')^{{ \mathrm{\scriptscriptstyle T} }} x_{i}-\beta(u)^{{ \mathrm{\scriptscriptstyle T} }} x_{i}>0\quad(i=1...

... in the literature by showing that adjusting for an instrumental variable amplifies bias for estimating causal effects under a wide class of models satisfying certain monotonicity assumptions. However, we also show that there exist data-generating processes under which an instrumental variable is not a bias...

... instruments under monotonicity, we present results to help investigators pose four questions about the local effect estimates obtained in their studies. (1) To what subgroup of the population does the effect pertain? Can we (2) estimate the size of or (3) describe the characteristics of this subgroup relative...

... an inverse problem of recovering the potential term in a 1D time-fractional diffusion equation from the overdetermined final time data. We introduce a reconstruction operator and show its contractivity and monotonicity, which give the unique determination and an efficient algorithm. Further, for noisy data...

.../standard_publication_model ) Causal inference Exclusion restriction Intermediate variable Monotonicity Non-parametric identification Principal ignorability Sensitivity analysis When an intermediate variable between a treatment and outcome exists, often researchers are interested in not only the average causal effect...

...Mario Piazza; Gabriele Pulcini © The Author, 2015. Published by Oxford University Press. All rights reserved. For Permissions, please email: [email protected] 2015 The goal of this article is to design a uniform proof-theoretical framework encompassing classical, non-monotonic...

...J. G. Scott; T. S. Shively; S. G. Walker [email protected] 4 2013 3 2015 © 2015 Biometrika Trust 2015 Abstract This paper adopts a nonparametric Bayesian approach to testing whether a function is monotone. Two new families of tests are constructed. The first uses constrained...

... that is an extension of the generalized estimating equation method. The resulting estimators are consistent, asymptotically normal and perform well in our simulation study. Some key words: Generalized estimating equation; Moment-type estimation; Nonlinear monotonicity. 1...