Results 131 to 140 of about 338,787 (319)
Modeling of IRIS Spectral Line Profiles via Markov Chain Monte Carlo in Bayesian Approach
The Astrophysical JournalSpectral line analysis is essential for investigating the solar atmospheric dynamic processes. Modeling the line profiles provides key insights into plasma motions and variations in temperature and density.
Zahra Mohammadiun +2 more
doaj +1 more source
Defect Prediction Using Akaike and Bayesian Information Criterion [PDF]
Computer Systems Science and Engineering, 2022 Saleh Albahli +1 more
openaire +1 more source
S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning
Advanced Science, EarlyView.Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu +6 more
wiley +1 more source
Bayesian Model Comparison and Significance: Widespread Errors and How to Correct Them
The Astrophysical Journal Supplement SeriesBayes factors have become a popular tool in exoplanet spectroscopy for testing atmosphere models against one another. We show that the commonly used method for converting these values into significance “sigmas” is invalid.
Daniel P. Thorngren +2 more
doaj +1 more source
Modified Bayesian Information Criterion for Item Response Models in Planned Missingness Test Designs
AnalyticsThe Bayesian information criterion (BIC) is a widely used statistical tool originally derived for fully observed data. The BIC formula includes the sample size and the number of estimated parameters in the penalty term.
Alexander Robitzsch
doaj +1 more source
Empirical Information Criteria for Time Series Forecasting Model Selection [PDF]
In this paper, we propose a new Empirical Information Criterion (EIC) for model selection which penalizes the likelihood of the data by a function of the number of parameters in the model.
A.B. Koehler, Md B. Billah, R.J. Hyndman
core
, 2013 Istatistiksel modelleme çalismalarinda, artan ileri teknoloji ve metodolojik gelismeler sayesinde veriyi ürettigi varsayilan alternatif modeller olusturabilmek mümkün olmaktadir. Dolayisiyla, mevcut rakip modeller arasindan “en iyi” olani seçme islemi, modelleme sürecine dahil edilmesi gereken önemli asamalardan biri olarak ortaya çikmaktadir.
KAYA, Mutlu, ÇANKAYA, Emel
openaire +2 more sources
Unveil Fundamental Graph Properties for Neural Architecture Search
Advanced Science, EarlyView.This paper proposes NASGraph, a graph‐based framework that represents neural architectures as graphs whose structural properties determine performance. By revealing structure–performance relationships, NASGraph enables efficient neural architecture search with significantly reduced computation.
Zhenhan Huang +4 more
wiley +1 more source
cuteHap: Haplotype‐Aware Structural Variant Detection in Phased Long‐Read Sequencing Data
Advanced Science, EarlyView.cuteHap is a haplotype‐aware structural variant detection method designed for phased long‐read sequencing. By employing self‐adaptive clustering and credibility‐prioritized beam search algorithms, cuteHap generates accurate haplotype‐resolved calls and outperforms state‐of‐the‐art tools.
Shuqi Cao +7 more
wiley +1 more source
Bayesian hierarchical modelling of bacteria growth [PDF]
Bacterial growth models are commonly used in food safety. Such models permit the prediction of microbial safety and the shelf life of perishable foods.
Ana P. Palacios +2 more
core