Results 121 to 130 of about 4,030,812 (306)
Dimension-agnostic change point detection
Journal of EconometricsChange point testing for high-dimensional data has attracted a lot of attention in statistics and machine learning owing to the emergence of high-dimensional data with structural breaks from many fields. In practice, when the dimension is less than the sample size but is not small, it is often unclear whether a method that is tailored to high ...
Hanjia Gao, Runmin Wang, Xiaofeng Shao
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background This study investigated how neighborhood‐level social determinants of health (SDOH), including redlining and neurological risk, interact to influence cognitive outcomes in children treated for brain tumors (CTBT). Methods A retrospective chart review of 161 CTBT aged 5–17 was conducted.
Alannah R. Srsich +5 more
wiley +1 more source
A Bayesian change point detection-based method for rolling bearing remaining useful life prediction
Advances in Mechanical EngineeringAddressing the multi-stage characteristics of rolling bearing degradation with random change points, this paper proposes a novel method for predicting the Remaining Useful Life (RUL) of multi-stage degradation processes.
Wenping Lei +3 more
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Change-Point Detection in Multivariate Categorical Processes With Variable Selection
IEEE Access, 2019 Statistical process control (SPC) has been widely used to control and improve the quality of products in manufacturing processes. Currently, a limited number of schemes is available for change-point detection in multivariate categorical processes (MCPs),
Qing He, Weiyan Liu, Junjie Wang
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change point detection in mortality data [PDF]
Background: Mortality refers to death that occurs within a population. It is linked to many factors such as age, sex, race, occupation and social class.
امانی, فیروز +2 more
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Objective To compare the efficacy and safety of roxarestat versus recombinant human erythropoietin (rhEPO) in the management of renal anemia in patients undergoing maintenance hemodialysis. Methods This was a prospective, open‐label, randomized controlled trial.
Lingling Chen, Junjie Zhu, Qiaonan Ge
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Parametric change point detection with random occurrence of the change point
, 2022 We are concerned with the problem of detecting a single change point in the model parameters of time series data generated from an exponential family. In contrast to the existing literature, we allow that the true location of the change point is itself random, possibly depending on the data. Under the alternative, we study the case when the size of the
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Neuromyelitis optica spectrum disorder (NMOSD) is a relapsing autoimmune disease of the central nervous system. High‐dose intravenous methylprednisolone (IVMP) is the standard first‐line therapy for acute attacks, although some patients remain refractory.
Wataru Horiguchi +5 more
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Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM
FEBS Letters, EarlyView.Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
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Online Meta-Recommendation of CUSUM Hyperparameters for Enhanced Drift Detection
SensorsWith the increasing demand for time-series analysis, driven by the proliferation of IoT devices and real-time data-driven systems, detecting change points in time series has become critical for accurate short-term prediction.
Jessica Fernandes Lopes +2 more
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