Overcoming Model Uncertainty - How Equivalence Tests Can Benefit From Model Averaging. [PDF]
Hagemann N, Möllenhoff K.
europepmc +1 more source
Identifying Peer Effects in Networks with Unobserved Effort and Isolated Students
ABSTRACT Peer influence on effort devoted to some activity is often studied when effort is unobserved, and the researcher instead observes an outcome that combines effort with other shocks. For instance, in education, achievement measures such as GPA reflect both effort and idiosyncratic GPA shocks.
Aristide Houndetoungan +2 more
wiley +1 more source
On the Asymptotic Power Properties of Specification Tests for Dynamic Parametric.
openaire +1 more source
Quasi-Maximum Exponential Likelihood Estimation of Conditional Quantiles for GARCH Models Based on High-Frequency Augmented Data. [PDF]
Zhang Z, Zhao S, Cheng J, Wang A.
europepmc +1 more source
ABSTRACT While existing work shows COVID‐19 stay‐at‐home (SAH) policies decreased mobility on average, we lack evidence regarding heterogeneity in policy effectiveness across US counties. To uncover potential heterogeneity, we implement a novel two‐stage approach.
James Sears +5 more
wiley +1 more source
Likelihood-Based Non-Parametric Receiver Operating Characteristic Curve Analysis in the Presence of Imperfect Reference Standard. [PDF]
Sun Y, Sang P, Tian Q, Li P.
europepmc +1 more source
Stable Cuts, NAC‐Colourings and Flexible Realisations of Graphs
ABSTRACT A (2‐dimensional) realisation of a graph G $G$ is a pair ( G , p ) $(G,p)$, where p $p$ maps the vertices of G $G$ to R 2 ${{\mathbb{R}}}^{2}$. A realisation is flexible if it can be continuously deformed while keeping the edge lengths fixed, and rigid otherwise.
Katie Clinch +5 more
wiley +1 more source
Semiparametric efficient estimation of small genetic effects in large-scale population cohorts. [PDF]
Labayle O +7 more
europepmc +1 more source
Weak Degeneracy of Planar Graphs
ABSTRACT The weak degeneracy of a graph G $G$ is a numerical parameter that was recently introduced by the first two authors with the aim of understanding the power of greedy algorithms for graph coloring. Every d $d$‐degenerate graph is weakly d $d$‐degenerate, but the converse is not true in general (e.g., all connected d $d$‐regular graphs except ...
Anton Bernshteyn +2 more
wiley +1 more source
Proportional Hazards Regression for Interval-Censored Outcomes With an Interval-Censored Covariate. [PDF]
Li D +5 more
europepmc +1 more source

