Results 71 to 80 of about 920,349 (257)
Environmental Research Letters, 2023 The ongoing decline in Arctic sea ice extent and thickness underscores the scientific significance of monitoring the marginal ice zone (MIZ), a transitional region between the open ocean and pack ice.
Armina Soleymani, K Andrea Scott
doaj +1 more source
Long signal change-point detection
Electronic Journal of Statistics, 2016 The detection of change-points in a spatially or time ordered data sequence is an important problem in many fields such as genetics and finance. We derive the asymptotic distribution of a statistic recently suggested for detecting change-points. Simulation of its estimated limit distribution leads to a new and computationally efficient change-point ...
Biau, Gérard +2 more
openaire +5 more sources
Adversarially robust change point detection
, 2021 Change point detection is becoming increasingly popular in many application areas. On one hand, most of the theoretically-justified methods are investigated in an ideal setting without model violations, or merely robust against identical heavy-tailed noise distribution across time and/or against isolate outliers; on the other hand, we are aware that ...
Li, Mengchu, Yu, Yi
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Cognitive and psychological difficulties could negatively interfere with treatment adherence and quality of life before and after hematopoietic stem cell transplant (HSCT). Methods to mitigate these changes may have positive effects on treatment success.
Kristen L. Votruba +11 more
wiley +1 more source
Change point Detection in Mortality Trend in IRAN
مجله اپیدمیولوژی ایران, 2015 Background & Objectives: In the analysis of mortality trend in the Iran that is basically a sequences of observations sorted by time, there is a point where the statistical properties of the mortality trend change so that the first k0 observations have a
AR Baghestani, A Teymourpour, Y Bashiri
doaj
Accelerating Singular Spectrum Transformation for Scalable Change Point Detection
IEEE AccessThe Singular Spectrum Transformation (SST) is a powerful technique for Change Point Detection (CPD) and is widely applied in time series analysis to identify abrupt structural changes. Due to the involvement of the Singular Value Decomposition (SVD), the
Lucas Weber, Richard Lenz
doaj +1 more source
Robust semi-parametric multiple change-points detection [PDF]
Signal Processing, 2019 This paper is dedicated to define two new multiple change-points detectors in the case of an unknown number of changes in the mean of a signal corrupted by additive noise. Both these methods are based on the Least-Absolute Value (LAV) criterion. Such criterion is well known for improving the robustness of the procedure, especially in the case of ...
Bardet, Jean-Marc, Dion, Charlotte
openaire +2 more sources
Change Detection in Point Clouds Using 3D Fractal Dimension
Remote SensingThe management of large point clouds obtained by LiDAR sensors is an important topic in recent years due to the widespread use of this technology in a wide variety of applications and the increasing volume of data captured.
Juan C. Casas-Rosa +7 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.Abstract Background A routine baseline echocardiogram is often obtained prior to anthracycline administration in children with cancer. The utility of baseline echocardiogram is unclear in patients with standard risk B‐cell acute lymphoblastic leukemia (SR B‐ALL) as their anthracycline cumulative dose is low.
Ziyad Alrajhi +4 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background/Objectives Outcomes for pediatric relapsed/refractory (R/R) acute myeloid leukemia (AML) remain dismal. CPX‐351, a liposomal formulation of cytarabine and daunorubicin, may have less off‐target toxicities than traditional chemotherapies and has shown improved outcomes for adults with newly diagnosed therapy‐related AML.
Jonathan D. Bender +17 more
wiley +1 more source