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High Dimensional Stochastic Regression with Latent Factors, Endogeneity and Nonlinearity
α-mixing dimension reduction instrument variables nonstationarity time series
2016/1/26
We consider a multivariate time series model which represents a high dimensional vector process as a sum of three terms: a linear regression of some observed regressors, a linear com-bination of some ...
High dimensional stochastic regression with latent factors, endogeneity and nonlinearity
α-mixing dimension reduction instrument variables nonstationarity time series
2016/1/25
We consider a multivariate time series model which represents a high dimensional vector process as a sum of three terms: a linear regression of some observed regressors,a linear combination of some la...
High dimensional stochastic regression with latent factors, endogeneity and nonlinearity
α-mixing, dimension reduction instrument variables nonstationarity time series
2016/1/20
We consider a multivariate time series model which represents a high dimensional vector process as a sum of three terms: a linear regression of some observed regressors,a linear combination of some la...
Students’Perceptions of Motivational Climate and Enjoyment in Finnish Physical Education:A Latent Profile Analysis
Motivational climate enjoyment physical education clusters
2016/1/11
The purpose of this study was to identify student clusters with homogenous profiles in perceptions of task- and ego-involving, autonomy, and social relatedness supporting motivational climate in schoo...
The Macroeconomy and the Yield Curve:A Dynamic Latent Factor Approach
Term structure interest rates macroeconomic fundamentals factor model state-space model
2015/9/18
We estimate a model that summarizes the yield curve using latent factors (specifically, level,slope, and curvature) and also includes observable macroeconomic variables (specifically, real activity,in...
Probabilistic Distributional Semantics with Latent Variable Models
Distributional Semantics Latent Variable Models
2015/9/14
We describe a probabilistic framework for acquiring selectional preferences of linguistic predicates and for using the acquired representations to model the effects of context on word meaning. Our fra...
We describe a structure learning system for unrestricted coreference resolution that explores two key modeling techniques: latent coreference trees and automatic entropy-guided feature induction. The ...
Multilingual Joint Parsing of Syntactic and Semantic Dependencies with a Latent Variable Model
Multilingual Joint Parsing Syntactic Semantic Latent Variable Model
2015/9/11
Current investigations in data-driven models of parsing have shifted from purely syntactic analysis to richer semantic representations, showing that the successful recovery of the meaning of text requ...
Improving Text Segmentation Using Latent Semantic Analysis: A Reanalysis of Choi, Wiemer-Hastings, and Moore (2001)
Text Segmentatio Analysis Wiemer-Hastings
2015/9/1
Choi, Wiemer-Hastings, and Moore (2001) proposed to use Latent Semantic Analysis (LSA) to
extract semantic knowledge from corpora in order to improve the accuracy of a text segmentation
algorithm. B...
A fused lasso latent feature model for analyzing multi-sample aCGH data
Cancer DNA copy number False discovery rate Mutation
2015/8/21
Array-based comparative genomic hybridization (aCGH) enables the measurement of DNA copy number across thousands of locations in a genome. The main goals of analyzing aCGH data are to identify the reg...
Multiple hypothesis testing, adjusting for latent variables
latent variables hypothesis testing
2015/8/21
In high throughput settings we inspect a great many candidate variables (e.g. genes) searching for associations with a primary variable (e.g.
a phenotype). High throughput hypothesis testing can be m...
Measuring Semantic Similarity by Latent Relational Analysis
analogies semantic relations vector space model noun-modifier expressions latent relational analysis
2015/7/31
This paper introduces Latent Relational Analysis (LRA), a method for measuring semantic similarity. LRA measures similarity in the semantic relations between two pairs of words. When two pairs have a ...
The Latent Relation Mapping Engine:Algorithm and Experiments
analogy metaphor semantic relations structure mapping vector space models
2015/7/28
Many AI researchers and cognitive scientists have argued that analogy is the core of cognition. The most influential work on computational modeling of analogy-making is Structure Mapping Theory (SMT) ...
ESTIMATION OF LATENT ABILITY USING A RESPONSE PATTERN OF GRADED SCORES
LATENT ABILITY RESPONSE PATTERN GRADED SCORES
2015/7/24
This monographis a part of a more comprehensive treatment of estimation of latent traits, whenthe entire response pattern is used.The fundamental structure of the whole theory comes from the latent tr...
A no-arbitrage vector autoregression of term structure dynamics with macroeconomic and latent variables
erm structure dynamics macroeconomic
2015/7/23
We describe the joint dynamics of bond yields and macroeconomic variables in a Vector
Autoregression, where identifying restrictions are based on the absence of arbitrage. Using a
term structure mod...