Results 81 to 90 of about 547,274 (236)

Estimation of a system of national accounts: implementation with mathematica [PDF]

open access: yes
This study implements Mathematica to estimate a system of national accounts. The estimation methods applied are portrayed in Danilov and Magnus (2008), including the Bayesian estimation, restricted and unrestricted least-squares estimation and best ...
Temel, Tugrul
core   +1 more source

Superionic Amorphous Li2ZrCl6 and Li2HfCl6

open access: yesAdvanced Materials, EarlyView.
Amorphous Li2HfCl6 and L2ZrCl6 are shown to be promising solid‐state electrolytes with predicted ionic conductivities >20 mS·cm−1. Molecular dynamics simulations with machine‐learning force fields reveal that anion vibrations and flexible MCl6 octahedra soften the Li coordination cage and enhance mobility. Correlation between Li‐ion diffusivity and the
Shukai Yao, De‐en Jiang
wiley   +1 more source

Generative Models for Crystalline Materials

open access: yesAdvanced Materials, EarlyView.
Generative machine learning models are increasingly used in crystalline materials design. This review outlines major generative approaches and assesses their strengths and limitations. It also examines how generative models can be adapted to practical applications, discusses key experimental considerations for evaluating generated structures, and ...
Houssam Metni   +15 more
wiley   +1 more source

Improving maximum likelihood estimation using prior probabilities: A tutorial on maximum a posteriori estimation and an examination of the weibull distribution [PDF]

open access: yesTutorials in Quantitative Methods for Psychology, 2013
This tutorial describes a parameter estimation technique that is little-known in social sciences, namely maximum a posteriori estimation. This technique can be used in conjunction with prior knowledge to improve maximumlikelihood estimation of the best ...
Denis Cousineau, Sebastien Helie
doaj  

Bayesian Methods for Predicting the Shape of Chinese Yam in Terms of Key Diameters

open access: yesAdvances in Agriculture, 2017
This paper proposes Bayesian methods for the shape estimation of Chinese yam (Dioscorea opposita) using a few key diameters of yam. Shape prediction of yam is applicable to determining optimal cutoff positions of a yam for producing seed yams.
Mitsunori Kayano   +2 more
doaj   +1 more source

Bayesian Quantum Amplitude Estimation [PDF]

open access: yesQuantum
We present BAE, a problem-tailored and noise-aware Bayesian algorithm for quantum amplitude estimation. In a fault tolerant scenario, BAE is capable of saturating the Heisenberg limit; if device noise is present, BAE can dynamically characterize it and ...
Alexandra Ramôa, Luis Paulo Santos
doaj   +1 more source

Limitations of Bayesian Evidence Applied to Cosmology

open access: yes, 2008
There has been increasing interest by cosmologists in applying Bayesian techniques, such as Bayesian Evidence, for model selection. A typical example is in assessing whether observational data favour a cosmological constant over evolving dark energy.
Astier   +38 more
core   +3 more sources

Oxygen Evolution Reaction Catalysts for Acidic‐Media CO2 Electrolyzers

open access: yesAdvanced Materials, EarlyView.
Acidic‐media CO2 electroreduction (CO2R) could decarbonize chemical production, despite relying on rare‐earth elements for anodic oxygen evolution reaction (OER). Transferring the learnings from mature sister technologies (water electrolysis) could accelerate technological development.
Mingcheng Huang, Adnan Ozden
wiley   +1 more source

Hard‐Magnetic Soft Millirobots in Underactuated Systems

open access: yesAdvanced Robotics Research, EarlyView.
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang   +4 more
wiley   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

open access: yesAdvanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek   +3 more
wiley   +1 more source

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