Results 91 to 100 of about 10,524 (182)
Driven by risk: Understanding reference‐dependent preferences using simulated auto racing
Abstract Using data from over 56,000 simulated auto races worldwide, we analyze risk‐taking at the margins, consistent with reference‐dependent preferences. We show that participants' risk‐taking changes when a desired intermittent outcome is presented, sometimes at the expense of a more favorable expected end state.
James Hilliard +2 more
wiley +1 more source
Khinchin Families, Set Constructions, Partitions and Exponentials. [PDF]
Cantón A +3 more
europepmc +1 more source
Effective Matrix Designs for COVID-19 Group Testing
Brust D, Brust JJ.
europepmc +1 more source
Detecting Relevant Deviations From the White Noise Assumption for Non‐Stationary Time Series
ABSTRACT We consider the problem of detecting deviations from a white noise assumption in time series. Our approach differs from the numerous methods proposed for this purpose with respect to two aspects. First, we allow for non‐stationary time series. Second, we address the problem that a white noise test is usually not performed because one believes ...
Patrick Bastian
wiley +1 more source
Some Open Mathematical Problems on Fullerenes. [PDF]
Bille A, Buchstaber V, Spodarev E.
europepmc +1 more source
Semiotic Aggregation in Deep Learning. [PDF]
Muşat B, Andonie R.
europepmc +1 more source
Aggregation and the Structure of Value
ABSTRACT Roughly, the view I call “Additivism” sums up value across time and people. Given some standard assumptions, I show that Additivism follows from two principles. The first says that how lives align in time cannot, in itself, matter. The second says, roughly, that a world cannot be better unless it is better within some period or another.
Weng Kin San
wiley +1 more source
NeuMapper: A scalable computational framework for multiscale exploration of the brain's dynamical organization. [PDF]
Geniesse C, Chowdhury S, Saggar M.
europepmc +1 more source
Panel Sequential Group Estimation of Interactive Effects Models
ABSTRACT This paper proposes a novel procedure to identify latent groups in the slopes of panel data models with interactive effects. The method is straightforward to apply and relies only on closed‐form estimators when evaluating the objective function.
Ignace De Vos, Joakim Westerlund
wiley +1 more source
Model selection over partially ordered sets. [PDF]
Taeb A, Bühlmann P, Chandrasekaran V.
europepmc +1 more source

