Suchergebnisse - "Biometrika"

Identifying Causal Effects With Proxy Variables of an Unmeasured Confounder von Miao, Wang, Geng, Zhi, Tchetgen Tchetgen, Eric

“… We consider a causal effect that is confounded by an unobserved variable, but with observed proxy variables of the confounder. We show that, with at least two …”
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Localized conformal prediction: a generalized inference framework for conformal prediction von Guan, Leying

“… Summary We propose a new inference framework called localized conformal prediction. It generalizes the framework of conformal prediction by offering a …”
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Jeffreys-prior penalty, finiteness and shrinkage in binomial-response generalized linear models von Kosmidis, Ioannis, Firth, David

“… Summary Penalization of the likelihood by Jeffreys’ invariant prior, or a positive power thereof, is shown to produce finite-valued maximum penalized …”
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Seeded binary segmentation: a general methodology for fast and optimal changepoint detection von Kovács, S, Bühlmann, P, Li, H, Munk, A

“… Summary We propose seeded binary segmentation for large-scale changepoint detection problems. We construct a deterministic set of background intervals, called …”
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General Bayesian updating and the loss-likelihood bootstrap von Lyddon, S P, Holmes, C C, Walker, S G

“… Summary In this paper we revisit the weighted likelihood bootstrap, a method that generates samples from an approximate Bayesian posterior of a parametric …”
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On the marginal likelihood and cross-validation von Fong, E, Holmes, C C

“… Summary In Bayesian statistics, the marginal likelihood, also known as the evidence, is used to evaluate model fit as it quantifies the joint probability of …”
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Doubly robust nonparametric inference on the average treatment effect von Benkeser, D, Carone, M, Laan, M J Van Der, Gilbert, P B

“… Doubly robust estimators are widely used to draw inference about the average effect of a treatment. Such estimators are consistent for the effect of interest …”
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Bayesian cumulative shrinkage for infinite factorizations von Legramanti, Sirio, Durante, Daniele, Dunson, David B

“… The dimension of the parameter space is typically unknown in a variety of models that rely on factorizations. For example, in factor analysis the number of …”
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Covariate-assisted spectral clustering von Binkiewicz, N, Vogelstein, J T, Rohe, K

“… Biological and social systems consist of myriad interacting units. The interactions can be represented in the form of a graph or network. Measurements of these …”
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Gene hunting with hidden Markov model knockoffs von Sesia, M, Sabatti, C, Candès, E J

“… Modern scientific studies often require the identification of a subset of explanatory variables. Several statistical methods have been developed to automate …”
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Splitting strategies for post-selection inference von Rasines, D García, Young, G A

“… Summary We consider the problem of providing valid inference for a selected parameter in a sparse regression setting. It is well known that classical …”
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High-dimensional peaks-over-threshold inference von de Fondeville, R, Davison, A C

“… Summary Max-stable processes are increasingly widely used for modelling complex extreme events, but existing fitting methods are computationally demanding, …”
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Fast and powerful conditional randomization testing via distillation von Liu, Molei, Katsevich, Eugene, Janson, Lucas, Ramdas, Aaditya

“… We consider the problem of conditional independence testing: given a response and covariates , we test the null hypothesis that . The conditional randomization …”
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Kernel-based covariate functional balancing for observational studies von Wong, Raymond K W, Chan, Kwun Chuen Gary

“… Covariate balance is often advocated for objective causal inference since it mimics randomization in observational data. Unlike methods that balance specific …”
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Valid sequential inference on probability forecast performance von Henzi, Alexander, Ziegel, Johanna F

“… Summary Probability forecasts for binary events play a central role in many applications. Their quality is commonly assessed with proper scoring rules, which …”
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Maximum likelihood estimation for semiparametric transformation models with interval-censored data von Zeng, Donglin, Mao, Lu, Lin, D Y

“… Interval censoring arises frequently in clinical, epidemiological, financial and sociological studies, where the event or failure of interest is known only to …”
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Model-assisted design of experiments in the presence of network-correlated outcomes von Basse, Guillaume W, Airoldi, Edoardo M

“… SUMMARY In this paper we consider how to assign treatment in a randomized experiment in which the correlation among the outcomes is informed by a network …”
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Tree-based methods for individualized treatment regimes von Laber, E B, Zhao, Y Q

“… Individualized treatment rules recommend treatments on the basis of individual patient characteristics. A high-quality treatment rule can produce better …”
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Spectral adjustment for spatial confounding von Guan, Yawen, Page, Garritt L, Reich, Brian J, Ventrucci, Massimo, Yang, Shu

“… Adjusting for an unmeasured confounder is generally an intractable problem, but in the spatial setting it may be possible under certain conditions. We derive …”
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Efficient Estimation under Data Fusion von Li, Sijia, Luedtke, Alex

“… We aim to make inferences about a smooth, finite-dimensional parameter by fusing data from multiple sources together. Previous works have studied the …”
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