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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...
Error Probability Bounds for Balanced Binary Relay Trees
Binary relay tree distributed detection decentralized detection hypothesis testing information fusion dynamic system invariant region error probability decay rate sensor network
2011/6/21
We study the detection error probability associated with a balanced binary relay tree, where the leaves of
the tree correspond to N identical and independent detectors. The root of the tree represent...
Modeling Network Evolution Using Graph Motifs
Modeling Network Graph Motifs simulating network evolution
2011/6/16
Network structures are extremely important to the study of political science. Much of the data
in its sub elds are naturally represented as networks. This includes trade, diplomatic and con
ict
rel...
The Asymptotic Covariance Matrix of the Odds Ratio Parameter Estimator in Semiparametric Log-bilinear Odds Ratio Models
Odds ratio asymptotic covariance matrix conditional sampling semiparametric log-linear models log-bilinear association logistic regression linear regression
2011/6/16
The association between two random variables is often of primary interest in statistical
research. In this paper semiparametric models for the association between random
vectors X and Y are consider...
MissForest - nonparametric missing value imputation for mixed-type data
MissForest missing value imputation mixed-type data
2011/6/16
Modern data acquisition based on high-throughput technology is often facing the
problem of missing data. Algorithms commonly used in the analysis of such large-scale data often
depend on a complete ...
A Gibbs approach to Chargaff's second parity rule
Reverse complementary relation Chargaff’s parity rules Gibbs measure Central Limit Theorem
2011/6/21
Chargaff’s second parity rule (CSPR) asserts that the frequencies of short polynucleotide chains are
the same as those of the complementary reversed chains. Up to now, this hypothesis has only been
...
Rapid Learning with Stochastic Focus of Attention
Rapid Learning Stochastic Attention MNIST data
2011/6/21
We present a method to stop the evaluation
of a decision making process when the result
of the full evaluation is obvious. This
trait is highly desirable for online marginbased
machine learning al...