Results 31 to 40 of about 6,076 (254)
Prediction of weakly locally stationary processes by auto-regression
Latin American Journal of Probability and Mathematical Statistics, 2018 In this contribution we introduce weakly locally stationary time series through the local approximation of the non-stationary covariance structure by a stationary one. This allows us to define autoregression coefficients in a non-stationary context, which, in the particular case of a locally stationary Time Varying Autoregressive (TVAR ...
François Roueff, André Sánchez-Pérez
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Odessa Astronomical Publications, 2017 In this paper, we present the results of a study of the variability of the prototype polar AM Her using one of the complementary mathematical methods.
I. L Andronov +9 more
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Classification and retrieval of traffic video using auto-regressive stochastic processes [PDF]
IEEE Proceedings. Intelligent Vehicles Symposium, 2005., 2005 We propose to model the traffic flow in a video using a holistic generative model that does not require segmentation or tracking. In particular, we adopt the dynamic texture model, an auto-regressive stochastic process, which encodes the appearance and the underlying motion separately into two probability distributions.
A.B. Chan, N. Vasconcelos
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Innovation and economic growth in European Economic Area countries: The Granger causality approach
IIMB Management Review, 2019 The paper examines the long-run relationship between innovation and economic growth in the European Economic Area (EEA) countries for the period 1989–2014.
Rana Pratap Maradana +6 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT We report a retrospective single‐center analysis of pediatric patients with relapsed or refractory B‐cell precursor acute lymphoblastic leukemia focusing on relapses outside of the typical locations, bone marrow, central nervous system, or testes.
Johanna Kunz +7 more
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Molecular Oncology, EarlyView.Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang +12 more
wiley +1 more source
The Effective Management of Organic Waste Policy in Albania
Energies, 2020 Following a recycling or continuous recycling process, there is always waste with no material or market value that can be converted into energy or other fossil fuel substitutes.
Ionica Oncioiu +5 more
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Engineering Proceedings, 2023 In time series analyses, the auto-regressive (AR) modelling of zero mean data is widely used for system identification, signal decorrelation, detection of outliers and forecasting.
Johannes Korte +2 more
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Molecular Oncology, EarlyView.We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric +10 more
wiley +1 more source
Molecular Oncology, EarlyView.Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley +1 more source