Results 81 to 90 of about 683,774 (325)
On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference
, 2018 Nonparametric methods play a central role in modern empirical work. While they provide inference procedures that are more robust to parametric misspecification bias, they may be quite sensitive to tuning parameter choices.
Calonico, Sebastian +2 more
core +2 more sources
Tumor mutational burden as a determinant of metastatic dissemination patterns
Molecular Oncology, EarlyView.This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal +4 more
wiley +1 more source
Bibliography profiling of undergraduate theses in a professional psychology program
Avances en Psicología Latinoamericana, 2010 The bibliographic profi le of 125 undergraduate (licentiate)theses was analyzed, describing absolutequantities of several bibliometric variables, as wellas within-document indexes and average lags of thereferences.
Cristina Vargas-Irwin +2 more
doaj
Improved Confidence Intervals for Expectiles
MathematicsExpectiles were introduced to statistics around 40 years ago, but have recently gained renewed interest due to their relevance in financial risk management.
Spiridon Penev, Yoshihiko Maesono
doaj +1 more source
Classical and modified rescaled range analysis: Sampling properties under heavy tails [PDF]
Mostly used estimators of Hurst exponent for detection of long-range dependence are biased by presence of short-range dependence in the underlying time series. We present confidence intervals estimates for rescaled range and modified rescaled range.
Ladislav Kristoufek
core +1 more source
On Confidence Intervals of Robust Regression Estimators
Korean Journal of Applied Statistics, 2006 Since it is well-established that even high quality data tend to contain outliers, one would expect fat? greater reliance on robust regression techniques than is actually observed. But most of all robust regression estimators suffers from the computational difficulties and the lower efficiency than the least squares under the normal error model.
openaire +2 more sources
Correlation of the differential expression of PIK3R1 and its spliced variant, p55α, in pan‐cancer
Molecular Oncology, EarlyView.PIK3R1 undergoes alternative splicing to generate the isoforms, p85α and p55α. By combining large patient datasets with laboratory experiments, we show that PIK3R1 spliced variants shape cancer behavior. While tumors lose the protective p85α isoform, p55α is overexpressed, changes linked to poorer survival and more pronounced in African American ...
Ishita Gupta +10 more
wiley +1 more source
Estimators of the multiple correlation coefficient: local robustness and confidence intervals. [PDF]
Many robust regression estimators are defined by minimizing a measure of spread of the residuals. An accompanying R-2-measure, or multiple correlation coefficient, is then easily obtained.
Croux, Christophe, Dehon, C
core
Thrombolytic proteins profiling: High‐throughput activity, selectivity, and resistance assays
FEBS Open Bio, EarlyView.We present optimized biochemical protocols for evaluating thrombolytic proteins, enabling rapid and robust screening of enzymatic activity, inhibition resistance, and fibrin affinity, stimulation, and selectivity. The outcome translates to key clinical indicators such as biological half‐life and bleeding risk. These assays streamline the development of
Martin Toul +3 more
wiley +1 more source
Engineering Science and Technology, an International JournalAccurate construction cost prediction is vital for project management, influencing budgeting, resource allocation, and overall success. This study proposes a comprehensive framework that combines machine learning models, uncertainty quantification ...
Lifei Chen +9 more
doaj +1 more source