# Sample Selection

### Sample Selection for Statistical Parsing

**sample**

**selection**to training a PP-attachment model, we have observed that all effective evaluation functions make use of the model’s current hypothesis in estimating the training utility of the ...

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### Estimation of a regression spline sample selection model

**selection**bias and obtain consistent estimates of the covariate effects in the outcome ...(1979),

**sample**

**selection**models have been used in various fields ...parametric

**sample**...

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### Copula regression spline sample selection models: the R Package SemiParSampleSel

**selection**arises if the

**sample**consisting of individuals who used health care services diﬀer in important characteristics from the

**sample**of individuals who did not use ...then ...

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### Estimating Labor Supply at the Extensive Margin in the presence of Sample Selection Bias

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### Discriminative Sample Selection for Statistical Machine Translation

**selection**, its coarse granularity (reducing a candidate sentence to a low- dimensional feature vector for ranking) makes it un- suitable for many ...random

**selection**when there is no logical ...

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### Misclassiﬁcation in Binary Choice Models with Sample Selection

**sample**units and data availability on a key variable depends on the behavior of the units about another ...selected

**sample**of the population and their wages are higher than those not in the labor force ...

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### Sample Selection for Statistical Parsers: Cognitively Driven Algorithms and Evaluation Measures

**sample**

**selection**focus on sentences that are difficult for the parsing algorithm when trained with the available training data (Section ...selected

**sample**that achieves the same parser ...

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### The Alzheimer's Disease Sequencing Project: Study design and sample selection

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**selection**were conducted to address issues of phenotypic heterogeneity and max- imize statistical power. The study design includes 2 pri- mary phases: a whole-genome sequencing (WGS) ...

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### Estimation of a regression spline sample selection model

**sample**

**selection**models are typically estimated using the two-step framework first introduced by Heckman (1979): using the parameter estimates of the

**selection**equation, a component (called ...

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### Bayesian Inference in Spatial Sample Selection Models

**Selection**models, or more generally Type-I or Type-II type Tobit models, may arise frequently in urban economics, regional science, labor economics, agricultural economics, and social interaction models. It is ...

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### A Bayesian Model of Sample Selection with a Discrete Outcome Variable

**sample**

**selection**model to the case of a discrete endogenous variable and those are limited to a single outcome ...non-ignorable

**selection**that can handle multiple

**selection**and ...

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### Selection trials:comparing approaches for correcting sample selection bias in evaluating the gender wage gap

**sample**

**selection**bias dominates the more conventional method of modelling participation ...of

**selection**models, focusing on gender wage gaps, for a large number of countries around the ...

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### Combining Sample Selection and Error Driven Pruning for Machine Learning of Coreference Rules

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**selection**, i.e. the

**selection**of a smaller subset of negative instances from the set of available negative ...negative

**sample**

**selection**that, for each anaphoric NP, NP ...

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### On sample selection models and skew distributions

**sample**

**selection**models are not new in the literature, the work we presented ...

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### Some Notes on Sample Selection Models

**Sample**

**selection**problems are pervasive when working with micro economic models and datasets of individuals, households or ﬁ rms. During the last three decades, there have been very signi ﬁ cant ...

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### Copula Regression Spline Sample Selection Models: The R Package SemiParSampleSel

**sample**

**selection**, non-linear covariate eﬀects and non-normal bivariate distribution between the model ...non-random

**sample**selec- tion is addressed using the conventional system of two ...

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### Panel data sample selection models.

**sample**

**selection**correction term (the idea o f pairwise differencing across individuals in a cross section setting appears in Powell (1987) and Ahn and Powell ...the

**selection**correction ...the ...

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### Sharp bounds on the MTE with sample selection

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**selection**is hard, especially in Labor ...predetermined

**sample**-

**selection**assumption, ruling out an contemporaneous relationship between the potential outcomes and the

**sample**...

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### Image Matting Based on Weighted Color and Texture Sample Selection

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### Respiratory tract clinical sample selection for microbiota analysis in patients with pulmonary tuberculosis

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