Results 111 to 120 of about 5,067 (215)

Parabolic PDEs with Dynamic Data under a Bounded Slope Condition. [PDF]

open access: yesArch Ration Mech Anal
Bögelein V, Duzaar F, Treu G.
europepmc   +1 more source

Relative Arbitrage Opportunities With Interactions Among N Investors

open access: yesMathematical Finance, EarlyView.
ABSTRACT The relative arbitrage portfolio outperforms a benchmark portfolio over a given time‐horizon with probability one. With market price of risk processes depending on the market portfolio and investors, this paper analyzes the multi‐agent optimization of relative arbitrage opportunities in the coupled system of market and wealth dynamics.
Tomoyuki Ichiba, Nicole Tianjiao Yang
wiley   +1 more source

Least Trimmed Squares: Cointegration and Outliers

open access: yesOxford Bulletin of Economics and Statistics, EarlyView.
ABSTRACT When applying the cointegrated autoregressive distributed lag model it is common to include indicator variables for outliers. This is often done in a somewhat ad hoc way. Least Trimmed Squares estimation provides a more systematic approach. This estimator is robust to a large number of outliers of many types.
Vanessa Berenguer‐Rico, Bent Nielsen
wiley   +1 more source

Assessing the Effectiveness of Workers' Selection Exams: The Case of the Bank of Italy

open access: yesOxford Bulletin of Economics and Statistics, EarlyView.
ABSTRACT High‐stakes exams can be used to rank and select candidates for job openings, and the ability of those selected hinges on the design of the exam. I propose a method to model candidates' performance to assess how effective the exam is at selecting high‐ability candidates.
Santiago Pereda‐Fernández
wiley   +1 more source

Repelled Point Processes With Application to Numerical Integration

open access: yesScandinavian Journal of Statistics, EarlyView.
ABSTRACT We look at Monte Carlo numerical integration from a stochastic geometry point of view. While crude Monte Carlo estimators relate to linear statistics of a homogeneous Poisson point process (PPP), linear statistics of more regularly spread point processes can yield unbiased estimators with faster‐decaying variance, and thus lower integration ...
Diala Hawat   +3 more
wiley   +1 more source

Sparse Minimum Redundancy Maximum Relevance for Feature Selection

open access: yesScandinavian Journal of Statistics, EarlyView.
ABSTRACT We propose a feature screening method that integrates both feature–feature and feature–target relationships. Inactive features are identified via a penalized minimum Redundancy Maximum Relevance (mRMR) procedure, which is the continuous version of the classical mRMR penalized by a non‐convex regularizer, and where the parameters estimated as ...
Peter Naylor   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy