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On a Rapid Simulation of the Dirichlet Process
Dirichlet process Gamma process L´ evy measure Stick-breaking representation
2011/7/19
We describe a simple and efficient procedure for approximating the L\'evy measure of a $\text{Gamma}(\alpha,1)$ random variable.
Some notes on biasedness and unbiasedness of two-sample Kolmogorov-Smirnov test
notes biasedness unbiasedness two-sample Kolmogorov-Smirnov test
2011/7/6
This paper deals with two-sample Kolmogorov-Smirnov test and its biasedness. This test is not unbiased in general in case of different sample sizes.
Gaussian Process Regression with a Student-t Likelihood
Gaussian process robust regression Student-t likelihood
2011/7/6
This paper considers the robust and efficient implementation of Gaussian process regression with a Student-t observation model. The challenge with the Student-t model is the analytically intractable i...
On construction of optimal mixed-level supersaturated designs
Coincidence number difference matrix equidistant design in-duced matrix orthogonal array
2011/6/20
Supersaturated design (SSD) has received much recent interest
because of its potential in factor screening experiments. In this pa-
per, we provide equivalent conditions for two columns to be fully
...
A semiparametric estimation of copula models based on the method of moments
Moments Copulas Dependence Parametric estimation Archimedean copulas
2011/6/20
Using the classical estimation method of moments, we propose a new semiparametric estima-
tion procedure for multi-parameter copula models. Consistency and asymptotic normality of
the obtained estim...
Manifold embedding for curve registration
Manifold learning Intrinsic statistics Structural statistics Graph-based methods Curve alignment Curve registration Warping Model Functional data
2011/6/20
We focus on the problem of finding a good representative of a
sample of random curves warped from a common pattern f. We first
prove that such a problem can be moved onto a manifold framework.
Then...
Lie Markov Models
phylogenetics Lie algebras Lie groups representation theory symmetry Markov chains
2011/6/21
Recent work has discussed the importance of multiplicative closure for the Markov mod-
els used in phylogenetics. For continuous-time Markov chains, a sufficient condition for
multiplicative closure...
Adaptive and Optimal Online Linear Regression on L1-balls
online linear regression indi-vidual sequences Adaptive Optimal
2011/6/20
We consider the problem of online linear regression on indi-
vidual sequences. The goal in this paper is for the forecaster to output
sequential predictions which are, after T time rounds, almost as...
Behavior of Graph Laplacians on Manifolds with Boundary
Graph Laplacians Behavior Manifolds Boundary
2011/6/21
In manifold learning, algorithms based on graph Laplacians constructed from data have received
considerable attention both in practical applications and theoretical analysis. In particular, the
conv...
Generating Similar Graphs From Spherical Features
Generating Similar Graphs Spherical Features exponential random graph model
2011/6/21
We propose a novel model for generating graphs similar to a given example graph.
Unlike standard approaches that compute features of graphs in Euclidean space, our
approach obtains features on a sur...
Stochastic Bandit Based on Empirical Moments
multiarmed bandit Stochastic Bandit Empirical asymptotic Burnetas Katehakis
2011/6/17
In the multiarmed bandit problem a gambler chooses an arm
of a slot machine to pull considering a tradeoff between exploration and
exploitation. We study the stochastic bandit problem where each arm...
Deconvolution of mixing time series on a graph
Deconvolution of mixing time latent time series state-space model
2011/6/17
In many applications we are interested in making
inference on latent time series from indirect
measurements, which are often low-dimensional
projections resulting from mixing or aggregation.
Posit...
Confidence bands for Horvitz-Thompson estimators using sampled noisy functional data
CLT functional data local polynomial smoothing maximal inequalities space of continuous functions suprema of Gaussian processes survey sampling weighted crossvalidation
2011/6/17
When collections of functional data are too large to be exhaustively observed, survey
sampling techniques provide an e ective way to estimate global quantities such as
the population mean function. ...
Asymptotic equivalence for inference on the volatility from noisy observations
High-frequency data diffusions with measurement error mi-crostructure noise integrated volatility spot volatility estimation Le Cam deficiency equivalence of experiments Gaussian shift
2011/6/17
We consider discrete-time observations of a continuous martin-
gale under measurement error. This serves as a fundamental model
for high-frequency data in finance, where an efficient price process
...
Estimation of latent variable models for ordinal data via fully exponential Laplace approximation
GLLVM Bartholomew response pattern parameters latent variable models Laplace
2011/6/17
Latent variable models represent a useful tool in the social sciences where the analyzed
constructs cannot be directly observed and, hence, they are not measurable. However, a set
of indicators rela...