Ya'acov Ritov

Publication List Details

Period

2000 - 2008

Number

20

Co-Authors

LLE with low-dimensional neighborhood representation (2008)

Goldberg, Yair, Ritov, Ya'acov

The local linear embedding algorithm (LLE) is a non-linear dimension-reducing technique, widely used due to its computational simplicity and intuitive approach. LLE first linearly reconstructs each...

Discussion of: Treelets--An adaptive multi-scale basis for sparse unordered data (2008)

Bickel, Peter J., Ritov, Ya'acov

Discussion of "Treelets--An adaptive multi-scale basis for sparse unordered data" [arXiv:0707.0481]

Discussion: The Dantzig selector: statistical estimation when $p$ is much larger than $n$ (2008)

Ritov, Ya'acov

Discussion of ``The Dantzig selector: Statistical estimation when $p$ is much larger than $n$'' [math/0506081]

Asymptotic efficiency of simple decisions for the compound decision problem (2008)

Greenshtein, Eitan, Ritov, Ya'acov

We consider the compound decision problem of estimating a vector of $n$ parameters, known up to a permutation, corresponding to $n$ independent observations, and discuss the difference between two...

Hierarchical selection of variables in sparse high-dimensional regression (2008)

Bickel, Peter J., Ritov, Ya'acov, Tsybakov, Alexander B.

We study a regression model with a huge number of interacting variables. We consider a specific approximation of the regression function under two ssumptions: (i) there exists a sparse representation...

Simultaneous analysis of Lasso and Dantzig selector (2008)

Bickel, Peter J., Ritov, Ya'acov, Tsybakov, Alexandre B.

We exhibit an approximate equivalence between the Lasso estimator and Dantzig selector. For both methods we derive parallel oracle inequalities for the prediction risk in the general nonparametric...

Forgetting of the initial condition for the filter in general state-space hidden Markov chain: a coupling approach (2007)

Douc, Randal, Moulines, Eric, Ritov, Ya'Acov

We give simple conditions that ensure exponential forgetting of the initial conditions of the filter for general state-space hidden Markov chain. The proofs are based on the coupling argument applied...

Forgetting of the initial condition for the filter in general state-space hidden Markov chain: a coupling approach (2007)

Douc, Randal, Moulines, Eric, Ritov, Ya'Acov

We give simple conditions that ensure exponential forgetting of the initial conditions of the filter for general state-space hidden Markov chain. The proofs are based on the coupling argument applied...

Forgetting of the initial condition for the filter in general state-space hidden Markov chain: a coupling approach (2007)

Douc, Randal, Moulines, Eric, Ritov, Ya'Acov

We give simple conditions that ensure exponential forgetting of the initial conditions of the filter for general state-space hidden Markov chain. The proofs are based on the coupling argument applied...

Tailor-made tests for goodness of fit to semiparametric hypotheses (2006)

Bickel, Peter J., Ritov, Ya'acov, Stoker, Thomas M.

We introduce a new framework for constructing tests of general semiparametric hypotheses which have nontrivial power on the $n^{-1/2}$ scale in every direction, and can be tailored to put substantial...

Persistence in high-dimensional linear predictor selection and the virtue of overparametrization (2004)

Greenshtein, Eitan, Ritov, Ya'Acov

Let $Z^i=(Y^i,X_1^i,\dots,X_m^i)$, $i=1,\dots,n$, be independent and identically distributed random vectors, $Z^i \sim F, \;F \in {\cal F}$. It is desired to predict Y by $\sum \beta_j X_j$, where...

Discussions of boosting papers, and rejoinders (2004)

Bartlett, Peter L., Bickel, Peter J., Bühlmann, Peter, Freund, Yoav, Friedman, Jerome, Hastie, Trevor, ...

Discussions of: "Process consistency for AdaBoost" [Ann. Statist. 32 (2004), no. 1, 13-29] by W. Jiang; "On the Bayes-risk consistency of regularized boosting methods" [ibid., 30-55] by G. Lugosi and...

Nonparametric estimators which can be "plugged-in" (2003)

Bickel, Peter J., Ritov, Ya'acov

We consider nonparametric estimation of an object such as a probability density or a regression function. Can such an estimator achieve the ratewise minimax rate of convergence on suitable function...

Sampling from a stationary process and detecting a change in the mean of a stationary distribution (2000)

Greenshtein, Eitan, Ritov, Ya'Acov

Let $\{X_t\}$, $t\in \R$, , be a stochastic process. Suppose that the process may not be continuously observed, yet an inference which is related to its probabilistic parameters, or to its sample...

Acetylcholinesterase/paraoxonase genotype and expression predict anxiety scores in Health, Risk Factors, Exercise Training, and Genetics study

Sklan, Ella H., Lowenthal, Alexander, Korner, Mira, Ritov, Ya'acov, Landers, Daniel M., Rankinen, Tuomo, ...

Anxiety involves complex, incompletely understood interactions of genomic, environmental, and experience-derived factors, and is currently being measured by psychological criteria. Here, we report...

Acetylcholinesterase/paraoxonase genotype and expression predict anxiety scores in Health, Risk Factors, Exercise Training, and Genetics study

Sklan, Ella H., Lowenthal, Alexander, Korner, Mira, Ritov, Ya'acov, Landers, Daniel M., Rankinen, Tuomo, ...

Anxiety involves complex, incompletely understood interactions of genomic, environmental, and experience-derived factors, and is currently being measured by psychological criteria. Here, we report...

From Animal Baits to Investors’ Preference: Estimating and Demixing of the Weight Function in Semiparametric Models for Biased Samples

Ya'acov Ritov, Wolfgang Härdle

We consider two semiparametric models for the weight function in a biased sample model. The object of our interest parametrizes the weight function, and it is either Euclidean or non Euclidean. One...

Accurate estimation of travel times from single-loop detectors

Petty, Karl F., Bickel, Peter, Ostland, Michael, Rice, John, Schoenberg, Frederic, Jiang, Jiming, ...

As advanced traveler information systems become increasingly prevalent the importance of accurately estimating link travel times grows. Unfortunately, the predominant source of highway traffic...