Results 131 to 140 of about 11,041 (298)
Survey on differential estimators for 3d point clouds
Abstract Recent advancements in 3D scanning technologies, including LiDAR and photogrammetry, have enabled the precise digital replication of real‐world objects. These methods are widely used in fields such as GIS, robotics, and cultural heritage. However, the point clouds generated by such scans are often noisy and unstructured, posing challenges for ...
Léo Arnal–Anger +4 more
wiley +1 more source
ABSTRACT Quantifying harvest of fish stocks is challenging as census data are often unavailable, so surveys are required. Traditional probability‐based surveys use random sampling to obtain representative data that can be scaled to estimate total impact.
Zachary Radford +8 more
wiley +1 more source
Taylor series coefficients of the HP-polynomial as an invariant for links in the solid torus [PDF]
We show that the coe±cients of a reformulation of a Taylor series expansion of the Hoste and Pryzyticki polynomial are Vassiliev invariants. We also show that many other reformulations of the Taylor series expansion have coe±cients that are Vassiliev ...
Bataineh, K.
core +1 more source
Circadian rhythms of metabolite abundance in Drosophila are largely driven by time of feeding
Circadian clocks exist in the brain and peripheral tissues such as the Drosophila fat body. Single‐nuclei transcriptomics reveal that the fat body clock generates time‐of‐day differences in metabolic gene transcription, which may also be indirectly controlled by brain clocks.
Sumit Saurabh +7 more
wiley +1 more source
When in Doubt, Tax More Progressively? Uncertainty and Progressive Income Taxation
ABSTRACT We study the optimal income tax problem under parameter uncertainty about household preferences and wage dynamics. We derive conditions characterizing how such uncertainty affects optimal tax policy. To quantify the effect, we estimate a life‐cycle model using US data and a Bayesian approach.
Minsu Chang, Chunzan Wu
wiley +1 more source
Classical Modeling of a Lossy Gaussian Bosonic Sampler
Gaussian boson sampling (GBS) is considered a candidate problem for demonstrating quantum advantage. We propose an algorithm for the approximate classical simulation of a lossy GBS instance.
Mikhail V. Umanskii, Alexey N. Rubtsov
doaj +1 more source
Cross‐Prudence and Optimal Prevention
ABSTRACT In this paper, we study optimal prevention in the presence of a correlated nonfinancial background risk. Under positive correlation, cross‐prudence in the nonfinancial attribute reduces optimal prevention. We establish this result in the most direct extension of the standard prevention problem with binary marginal distributions and show that ...
Jingyuan Li, Richard Peter, Lin Zhou
wiley +1 more source
Using rational logarithmic basis functions to solve singular differential equations
Numerical methods based on polynomial approximation perform poorly when applied to singular initial value problems (IVPs). Hence, we are motivated to derive and implement numerical methods involving non-polynomial basis functions such as logarithmic ...
John J. Garwood, Samuel N. Jato
doaj
Local Polynomial Estimator in The Nonparametric Model of Inflation in Indonesia
Inflation is a general and continuous increase in prices of goods and services over a certain period. Nonparametric regression analysis can be used to model inflation data that does not form a particular pattern.
Abdul Aziz, Nur Chamidah, Toha Saifudin
doaj +1 more source
Predicting psychopathology symptom trajectories using machine learning: a 33‐year prospective study
Background While previous literature has established a link between psychopathology symptom trajectories and psychosocial risk, most studies have not extended into adulthood or incorporated comprehensive risk measures. We aimed to identify symptom trajectories for externalizing and internalizing symptoms over a 25‐year span and predict them using ...
Seda Sacu +5 more
wiley +1 more source

