FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891859976> ?p ?o ?g. }

• W2891859976 abstract "Time series, as frequently the case in neuroscience, are rarely stationary, but often exhibit abrupt changes due to attractor transitions or bifurcations in the dynamical systems producing them. A plethora of methods for detecting such change points in time series statistics have been developed over the years, in addition to test criteria to evaluate their significance. Issues to consider when developing change point analysis methods include computational demands, difficulties arising from either limited amount of data or a large number of covariates, and arriving at statistical tests with sufficient power to detect as many changes as contained in potentially high-dimensional time series. Here, a general method called Paired Adaptive Regressors for Cumulative Sum is developed for detecting multiple change points in the mean of multivariate time series. The method's advantages over alternative approaches are demonstrated through a series of simulation experiments. This is followed by a real data application to neural recordings from rat medial prefrontal cortex during learning. Finally, the method's flexibility to incorporate useful features from state-of-the-art change point detection techniques is discussed, along with potential drawbacks and suggestions to remedy them." @default.
• W2891859976 created "2018-09-27" @default.
• W2891859976 creator A5056788018 @default.
• W2891859976 creator A5075009707 @default.
• W2891859976 date "2018-10-04" @default.
• W2891859976 modified "2023-10-12" @default.
• W2891859976 title "Detecting Multiple Change Points Using Adaptive Regression Splines With Application to Neural Recordings" @default.
• W2891859976 cites W1483968386 @default.
• W2891859976 cites W1514783163 @default.
• W2891859976 cites W1553416418 @default.
• W2891859976 cites W1739323369 @default.
• W2891859976 cites W1965666958 @default.
• W2891859976 cites W1982112356 @default.
• W2891859976 cites W1985995825 @default.
• W2891859976 cites W2000586291 @default.
• W2891859976 cites W2000908050 @default.
• W2891859976 cites W2002113995 @default.
• W2891859976 cites W2002363224 @default.
• W2891859976 cites W2002869784 @default.
• W2891859976 cites W2007501689 @default.
• W2891859976 cites W2012865934 @default.
• W2891859976 cites W2026653240 @default.
• W2891859976 cites W2034950425 @default.
• W2891859976 cites W2049723111 @default.
• W2891859976 cites W2051903196 @default.
• W2891859976 cites W2054359607 @default.
• W2891859976 cites W2062119440 @default.
• W2891859976 cites W2063978378 @default.
• W2891859976 cites W2095283167 @default.
• W2891859976 cites W2102201073 @default.
• W2891859976 cites W2105284151 @default.
• W2891859976 cites W2106172517 @default.
• W2891859976 cites W2133174470 @default.
• W2891859976 cites W2144095870 @default.
• W2891859976 cites W2144496644 @default.
• W2891859976 cites W2148133654 @default.
• W2891859976 cites W2150427470 @default.
• W2891859976 cites W2151277936 @default.
• W2891859976 cites W2164011442 @default.
• W2891859976 cites W2164183806 @default.
• W2891859976 cites W2173302090 @default.
• W2891859976 cites W2330210193 @default.
• W2891859976 cites W2515822248 @default.
• W2891859976 cites W2523721613 @default.
• W2891859976 cites W2567727905 @default.
• W2891859976 cites W2612382944 @default.
• W2891859976 cites W2754341698 @default.
• W2891859976 cites W2787894218 @default.
• W2891859976 cites W2797731621 @default.
• W2891859976 cites W2890415972 @default.
• W2891859976 cites W2962736036 @default.
• W2891859976 cites W3000332379 @default.
• W2891859976 cites W3098561233 @default.
• W2891859976 cites W3105334025 @default.
• W2891859976 cites W4238519965 @default.
• W2891859976 cites W4241115065 @default.
• W2891859976 cites W4244827885 @default.
• W2891859976 cites W4254075555 @default.
• W2891859976 cites W4298872162 @default.
• W2891859976 cites W639907764 @default.
• W2891859976 doi "https://doi.org/10.3389/fninf.2018.00067" @default.
• W2891859976 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6187984" @default.
• W2891859976 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30349472" @default.
• W2891859976 hasPublicationYear "2018" @default.
• W2891859976 type Work @default.
• W2891859976 sameAs 2891859976 @default.
• W2891859976 citedByCount "9" @default.
• W2891859976 countsByYear W28918599762020 @default.
• W2891859976 countsByYear W28918599762021 @default.
• W2891859976 countsByYear W28918599762022 @default.
• W2891859976 countsByYear W28918599762023 @default.
• W2891859976 crossrefType "journal-article" @default.
• W2891859976 hasAuthorship W2891859976A5056788018 @default.
• W2891859976 hasAuthorship W2891859976A5075009707 @default.
• W2891859976 hasBestOaLocation W28918599761 @default.
• W2891859976 hasConcept C105795698 @default.
• W2891859976 hasConcept C119043178 @default.
• W2891859976 hasConcept C119857082 @default.
• W2891859976 hasConcept C121332964 @default.
• W2891859976 hasConcept C124101348 @default.
• W2891859976 hasConcept C134306372 @default.
• W2891859976 hasConcept C142806159 @default.
• W2891859976 hasConcept C143724316 @default.
• W2891859976 hasConcept C151406439 @default.
• W2891859976 hasConcept C151730666 @default.
• W2891859976 hasConcept C154945302 @default.
• W2891859976 hasConcept C158622935 @default.
• W2891859976 hasConcept C161584116 @default.
• W2891859976 hasConcept C164380108 @default.
• W2891859976 hasConcept C203595873 @default.
• W2891859976 hasConcept C2780598303 @default.
• W2891859976 hasConcept C33923547 @default.
• W2891859976 hasConcept C41008148 @default.
• W2891859976 hasConcept C62520636 @default.
• W2891859976 hasConcept C86803240 @default.
• W2891859976 hasConcept C87007009 @default.
• W2891859976 hasConceptScore W2891859976C105795698 @default.
• W2891859976 hasConceptScore W2891859976C119043178 @default.
• W2891859976 hasConceptScore W2891859976C119857082 @default.
• W2891859976 hasConceptScore W2891859976C121332964 @default.

• next