搜索结果: 1-15 共查到“管理学 causal”相关记录23条 . 查询时间(0.14 秒)
Identifiability and Estimation of Causal Effects by Principal Stratification with Outcomes Truncated by Death
Causal inference Identifiability Principal Stratification Truncated by Death
2016/1/19
In medical studies, there are many situations where the final outcomes are truncated by death, in which patients die before outcomes of interest are measured. In this paper we consider identifiability...
Identifiability of causal effects for binary variables with data missing due to death
Causal inference Missing due to death Identifiability EM algorithm Bounds
2016/1/19
Summary: We discuss evaluation of causal effects with missing data due to death. Frangakis et al. (2007)proposed an approach for estimating the causal effects of interest under some assumptions. In th...
Estimating Average Causal Effects Under Interference Between Units
Estimating Average Causal Effects Interference Between Units
2013/6/14
This paper presents a randomization-based framework for estimating causal effects under interference between units. We develop the case of estimating average unit-level causal effects from a randomize...
ParceLiNGAM: A causal ordering method robust against latent confounders
ParceLiNGAM A causal ordering method robust against latent confounders
2013/4/28
We consider learning a causal ordering of variables in a linear non-Gaussian acyclic model called LiNGAM. Several existing methods have been shown to consistently estimate a causal ordering assuming t...
Generalized Thompson Sampling for Sequential Decision-Making and Causal Inference
Generalized Thompson Sampling Sequential Decision-Making Causal Inference
2013/5/2
Recently, it has been shown how sampling actions from the predictive distribution over the optimal action-sometimes called Thompson sampling-can be applied to solve sequential adaptive control problem...
Monitoring procedure for parameter change in causal time series
Sequential change detection Change-point Causal processes Quasi-maximum likelihood estimator Weak convergence.
2012/11/22
We propose a new sequential procedure to detect change in the parameters of a process $ X= (X_t)_{t\in \Z}$ belonging to a large class of causal models (such as AR($\infty$), ARCH($\infty$), TARCH($\i...
Diagnostic Tests for Non-causal Time Series with Infinite Variance
Non-causal AR Process Infinite Variance Goodness-of-fit Portmanteau Test alpha-stabledistribution
2012/11/22
We study goodness-of-fit testing for non-causal autoregressive time series with non-Gaussian stable noise. To model time series exhibiting sharp spikes or occasional bursts of outlying observations, t...
Causal band-limited approximation and forecasting for discrete time processes
band-limited processes discrete time processes causal filters sampling low-pass filters forecasting.
2012/9/18
We study causal dynamic approximation of non-bandlimited discretetime processes by band-limited discrete time processes such that a part of the historical path of the underlying process is approximate...
Geometry of faithfulness assumption in causal inference
causal inference PC-algorithm (strong) faithfulness conditional independence directed acyclic graph structural equation model real algebraic hypersurface Crofton's formula algebraic statistics.
2012/9/18
Many algorithms for inferring causality rely heavily on the faithfulness assumption.The main justi cation for imposing this assumption is that the set of unfaithful distribu-tions has Lebesgue measure...
Causal Inference on Time Series using Structural Equation Models
Causal Inference Time Series Structural Equation Models
2012/9/19
Causal inference uses observations to infer the causal structure of the data generating system.We study a class of functional models that we call Time Series Models with Independent Noise (TiMINo). Th...
A proof of Bell's inequality in quantum mechanics using causal interactions
Interactions interference local reality quantum physics
2012/9/19
We give a simple proof of Bell’s inequality in quantum mechanics which, in conjunction with experiments, demonstrates that the local hidden variables assumption is false. The proof sheds light on rela...
Estimating a Causal Order among Groups of Variables in Linear Models
Causal Order among Groups Variables in Linear Models
2012/9/19
The machine learning community has recently devoted much attention to the problem of inferring causal relationships from statistical data. Most of this work has focused on uncovering connections among...
Causal Network Inference via Group Sparse Regularization
Causal Network Inference via Group Sparse Regularization
2011/7/5
This paper addresses the problem of inferring sparse causal networks modeled by multivariate auto-regressive (MAR) processes. Conditions are derived under which the Group Lasso (gLasso) procedure cons...
Identification, Inference and Sensitivity Analysis for Causal Mediation Effects
Causal inference causal mediation analysis direct and indirect effects linear structural equation models
2010/11/9
Causal mediation analysis is routinely conducted by applied researchers in a variety of disciplines. The goal of such an analysis is to investigate alternative causal mechanisms by examining the roles...
Causal graphical models in systems genetics: A unified framework for joint inference of causal network and genetic architecture for correlated phenotypes
Causal graphical models QTL mapping joint inference of phenotype network and genetic architecture systems genetics
2010/10/19
Causal inference approaches in systems genetics exploit quantitative trait loci (QTL) genotypes to infer causal relationships among phenotypes. The genetic architecture of each phenotype may be comple...