Relevant bibliographies by topics / Spectral causality

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Spectral causality'

Author: Grafiati
Published: 3 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Spectral causality"

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KOPF, TOMÁŠ. "SPECTRAL GEOMETRY AND CAUSALITY." International Journal of Modern Physics A 13, no. 15 (1998): 2693–708. http://dx.doi.org/10.1142/s0217751x98001360.

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For a physical interpretation of a theory of quantum gravity, it is necessary to recover classical space–time, at least approximately. However, quantum gravity may eventually provide classical space–times by giving spectral data similar to those appearing in noncommutative geometry, rather than by giving directly a space–time manifold. It is shown that a globally hyperbolic Lorentzian manifold can be given by spectral data. A new phenomenon in the context of spectral geometry is observed: causal relationships. The employment of the causal relationships of spectral data is shown to lead to a hi
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Censor, D. "Simultaneity, Causality, and Spectral Representations." Progress In Electromagnetics Research 29 (2000): 187–220. http://dx.doi.org/10.2528/pier00032203.

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Tastan, Hüseyin. "Testing for Spectral Granger Causality." Stata Journal: Promoting communications on statistics and Stata 15, no. 4 (2015): 1157–66. http://dx.doi.org/10.1177/1536867x1501500411.

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Censor, D. "Simultaneity, Causality, and Spectral Representations - Abstract." Journal of Electromagnetic Waves and Applications 14, no. 9 (2000): 1241–43. http://dx.doi.org/10.1163/156939300x01148.

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Detto, Matteo, Annalisa Molini, Gabriel Katul, Paul Stoy, Sari Palmroth, and Dennis Baldocchi. "Causality and Persistence in Ecological Systems: A Nonparametric Spectral Granger Causality Approach." American Naturalist 179, no. 4 (2012): 524–35. http://dx.doi.org/10.1086/664628.

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He, Fei, Hua-Liang Wei, Stephen A. Billings, and Ptolemaios G. Sarrigiannis. "A Nonlinear Generalization of Spectral Granger Causality." IEEE Transactions on Biomedical Engineering 61, no. 6 (2014): 1693–701. http://dx.doi.org/10.1109/tbme.2014.2300636.

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Chicharro, D. "On the spectral formulation of Granger causality." Biological Cybernetics 105, no. 5-6 (2011): 331–47. http://dx.doi.org/10.1007/s00422-011-0469-z.

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Hu, Sanqing, and Hualou Liang. "Causality analysis of neural connectivity: New tool and limitations of spectral Granger causality." Neurocomputing 76, no. 1 (2012): 44–47. http://dx.doi.org/10.1016/j.neucom.2010.10.017.

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ÖZEN, Kerem, M. Akif ARVAS, and YENILMEZ Meltem INCE. "Estimating the Effect of Smoking and Alcohol Consumption on Health Expenditures by Spectral Causality Approach: Evidence from The Turkish Case." International Journal of Contemporary Economics and Administrative Sciences 13, no. 2 (2023): 654–76. https://doi.org/10.5281/zenodo.10475958.

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The main purpose of this study is to evaluate the effects of smoking and alcohol use on health expenditures in Turkey. For this purpose, the spectral Granger causality approach was used, and the data set was collected from the OECD stat website for the period 1990 and 2019. According to the first finding, there is a strong causality between smoking and alcohol use and health expenditure, specifically in the 0, 0.5 domains, and supports the existence of bidirectional causality. Secondly, while there was a unidirectional causality from alcohol to health, this causality was found to be stronger i
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Adam, Anokye M. "Foreign direct investment and growth causal-nexus in economic community of West African States: Evidence from spectral causality." Business and Economic Horizons 14, no. 1 (2018): 17–28. https://doi.org/10.15208/beh.2018.2.

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The paper examines the causal relationship between FDI and economic growth (GDP) in thirteen ECOWAS countries using both time domain and frequency domain testing procedures using annual data from 1970 to 2015. The results showed that time domain is not adequate in detecting causality. The time domain detected causality in only four out of thirteen countries whilst the frequency domain detected causality at different frequencies and cycles in nine out of thirteen countries. The findings of this study indicate the importance of frequency domain causality, that it decomposes causality at differen
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Dissertations / Theses on the topic "Spectral causality"

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Vronskaya, Maria. "Stability of singular spectrum analysis and causality in time series." Thesis, Cardiff University, 2013. http://orca.cf.ac.uk/52140/.

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The concept of causality has been widely studied in econometrics and statistics since 1969, when C. J. Granger published his paper "Investigating causal relations by econometric models and cross-spectral methods". The intuitive basis for his definition of causality is the following: time series Y is causing time series X if the use of the additional information provided by Y improves the forecast of series X. In the present thesis we focus on combining Granger's causality concept with the Singular Spectrum Analysis (SSA) technique. SSA is founded on the idea of transforming the time series int
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Arcangeloni, Luca. "Causal Inference for Jamming Detection in Adverse Scenarios." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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The goal of this thesis is the development of an anti-jamming defense mechanism based on causal inference. The current state-of-the-art methods to compute causality, i.e., Granger Causality (GC), Transfer Entropy (TE) and Convergent Cross Mapping (CCM) are presented and they are used to detect the smart jammer into an appropriate simulation environment. The performances of the causality tools are evaluated, pointing out how the TE obtains the best results while the GC fails the detection of the intruder. The innovative CCM algorithm, instead, requires to function a deterministic structure of t
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Thurin, Jean-Michel. "Caractériser et comprendre le processus de changement des psychothérapies complexes : modélisation des processus, mécanismes et conditions des changements associés à la psychothérapie de 66 enfants et adolescents présentant des troubles du spectre autistique." Thesis, Sorbonne Paris Cité, 2017. http://www.theses.fr/2017USPCB104/document.

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La méthodologie de l’évaluation en psychothérapie s’est longtemps limitée aux résultats issus d’essais cliniques comparatifs de groupes. L’objectif, engagé dans les années 2000, de comprendre ce qui cause son efficacité a engagé un renouvellement méthodologique. Son application concrète est peu documentée. La première partie présente, à partir d’une revue de la littérature centrée sur l’introduction de la recherche sur le processus associée aux résultats, comment le paradigme interactionnel multifactoriel de la psychothérapie a stimulé le développement de méthodes adaptées à la complexité et à
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Serra, Michele. "Elaborazione dell'elettroencefalogramma e analisi della connettività cerebrale in soggetti con ridotto ed elevato tratto autistico." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amslaurea.unibo.it/25095/.

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Nel corso dell’ultimo secolo la definizione di “autismo” è cambiata in maniera significativa rispetto a quella inizialmente proposta da Kanner, pioniere nell’ambito della ricerca sull’autismo. Il più significativo cambiamento è in particolare costituito dal passaggio da una definizione dicotomica a una visione continua dell’autismo, con il conseguente conio del termine “disturbi dello spettro autistico” (abbr. DSA). Questo cambiamento paradigmatico è associato alla presa di coscienza che questi disturbi si presentano con caratteristiche ed entità diverse da individuo a individuo. Inoltre, sono
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Cieslar, Jakub. "Měřění vysokofrekvenčních posunů na finančních trzích." Master's thesis, 2019. http://www.nusl.cz/ntk/nusl-392653.

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Adhikari, Bhim M. "Oscillatory Network Activity in Brain Functions and Dysfunctions." 2014. http://scholarworks.gsu.edu/phy_astr_diss/67.

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Recent experimental studies point to the notion that the brain is a complex dynamical system whose behaviors relating to brain functions and dysfunctions can be described by the physics of network phenomena. The brain consists of anatomical axonal connections among neurons and neuronal populations in various spatial scales. Neuronal interactions and synchrony of neuronal oscillations are central to normal brain functions. Breakdowns in interactions and modifications in synchronization behaviors are usual hallmarks of brain dysfunctions. Here, in this dissertation for PhD degree in physics, we
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Datta, Gupta Syamantak. "On MMSE Approximations of Stationary Time Series." Thesis, 2013. http://hdl.handle.net/10012/8143.

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In a large number of applications arising in various fields of study, time series are approximated using linear MMSE estimates. Such approximations include finite order moving average and autoregressive approximations as well as the causal Wiener filter. In this dissertation, we study two topics related to the estimation of wide sense stationary (WSS) time series using linear MMSE estimates. In the first part of this dissertation, we study the asymptotic behaviour of autoregressive (AR) and moving average (MA) approximations. Our objective is to investigate how faithfully such approximatio
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Hariharan, N. "Time Series Analysis Of Neurobiological Signals." Thesis, 2005. https://etd.iisc.ac.in/handle/2005/1452.

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Hariharan, N. "Time Series Analysis Of Neurobiological Signals." Thesis, 2005. http://etd.iisc.ernet.in/handle/2005/1452.

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Wang, Ju Pin, and 王治平. "A Study on the Dynamic Causality between Macroeconomic Variables and Stock Returns across Spectrum Bands." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/73238698731296193743.

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Books on the topic "Spectral causality"

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Morawetz, Klaus. Spectral Properties. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198797241.003.0008.

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The spectral properties of the nonequilibrium Green’s functions are explored. Causality and sum rules are shown to be completed by the extended quasiparticle picture. The off-shell motion is seen to become visible in satellite structures of the spectral function. Different forms of ansatz to reduce the two-time Green’s function to a one-time reduced density matrix are discussed with respect to the consistency to other approximations. We have seen from the information contained in the correlation function that the statistical weight of excitations with which the distributions are populated are
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Siddiqui, Salman, and Dhananjay Desai. Drug-induced lung disease. Edited by Patrick Davey and David Sprigings. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199568741.003.0144.

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Pulmonary drug toxicity is being increasingly recognized as a cause of various forms of lung disease. The spectrum of disease can range from transient, minor reactions to rapidly progressive disease with fatal consequences. A large number of drugs are linked to pulmonary disease; however, causality is often difficult to establish, because the length of the latency period between exposure and the onset of disease can vary and because there can be discordance between symptom development and the appearance of radiological changes, which may not be present at all (e.g. angiotensin-converting enzym
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Chang, Jung-San, and Hung-Chun Chen. Dengue and other viral haemorrhagic fevers. Edited by Vivekanand Jha. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199592548.003.0189_update_001.

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Human infections of dengue viruses are mediated by mosquito bites. The disease spectrum ranges from asymptomatic infection to severe dengue haemorrhagic fever, and dengue shock syndrome. Dengue virus infects a wide range of immune cells that lead to plasma leakage and dengue haemorrhagic fever. Dengue haemorrhagic fever can be complicated with renal involvement, including haematuria, proteinuria, glomerulonephritis, acute kidney injury, and haemolytic uraemic syndrome. Diagnosis can be made by serology, detection of viral proteins by Western blot assay, or detection of the dengue viral genome
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Book chapters on the topic "Spectral causality"

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Granger, Clive. "Granger: Spectral Analysis, Causality, Forecasting, Model Interpretation and Non-linearity." In A Very British Affair. Palgrave Macmillan UK, 2013. http://dx.doi.org/10.1057/9781137291264_9.

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Kühnert, Christian, Christian Frey, and Ruben Seyboldt. "Detection of Directed Connectivities in Dynamic Systems for Different Excitation Signals using Spectral Granger Causality." In Machine Learning for Cyber Physical Systems. Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-58485-9_11.

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Guerrero, J., A. Rosado, M. Bataller, et al. "Brain Activity Characterization Induced by Alcoholic Addiction: Spectral and Causality Analysis of Brain Areas Related to Control and Reinforcement of Impulsivity." In IFMBE Proceedings. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-00846-2_419.

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Cardona, Pablo, and Carlos Rey. "Is There a Link Between Corporate Purpose and Performance?" In Management by Missions. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-83780-8_1.

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AbstractAfter 50 years of debate on this crucial question, the evidence is increasingly strong in favor of “yes”: companies can achieve better results if they incorporate practices that foster people’s sense of purpose. This relationship seems to be valid for very different types of industries and various business strategies within the cost-differentiation spectrum. However, causality between purpose and performance is not as linear as some literature and consultants seem to indicate. In this chapter, we discuss this relationship under the perspective of unity (the degree of mutual trust and c
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Forni, Mario, and Marco Lippi. "Granger Causality." In Aggregation and the Microfoundations of Dynamic Macroeconomics. Oxford University PressOxford, 1997. http://dx.doi.org/10.1093/oso/9780198288008.003.0011.

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Abstract Granger causality is a relationship between the components of D(L)zl or D(L)zf. Therefore, as in Chapter 8, there is no loss of generality in assuming D(L) = I. Let us further simplify the matter by considering a two-variable model. With no loss of generality we can write the model as The same is true for the opposite direction of causality. Let us concentrate on the aggregate variables. We have indicated the spectral density by SP(z). In our case, with obvious notation
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"Coherence and Granger Causality Spectral Analysis." In Encyclopedia of Computational Neuroscience. Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4614-6675-8_100110.

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Stock, James H. "A Class of Tests for Integration and Cointegration." In Cointigration, Causality, and forecating. Oxford University PressOxford, 1999. http://dx.doi.org/10.1093/oso/9780198296836.003.0006.

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Abstract The intellectual architecture of cointegration analysis constitutes a watershed accomplishment of time series econometrics in the 1980s. As of 1980, econometricians confronted several apparently conflicting pieces of evidence about long run relations among time series. It was recognized that many macroeconomic time series exhibit trend-like behavior and have considerable persistence. Granger (1966) expressed this as the series having much of their spectral power at low frequencies, and Nelson and Plosser (1982) argued that this persistence was captured by modeling the series as having
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Forni, Mario, and Marco Lippi. "An Extension of the Alternative Principle." In Aggregation and the Microfoundations of Dynamic Macroeconomics. Oxford University PressOxford, 1997. http://dx.doi.org/10.1093/oso/9780198288008.003.0010.

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Abstract In Chapters 8 and 9 we have studied some of the properties of the aggregated model that can be analyzed on the basis of its MA representation in terms of the vector Ut. We now turn to problems involving the roots of the spectral density or the Wold representation of the aggregated vector. Such roots must be considered when we study Granger causality, while the Wold representation is necessary when we aim to study a vector autoregressive (VAR) model or an ARMAX linking the aggregate variables.
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Hari, Riitta, and Aina Puce. "Analyzing the Data." In MEG - EEG Primer, 2nd ed., edited by Riitta Hari and Aina Puce. Oxford University PressNew York, 2023. http://dx.doi.org/10.1093/med/9780197542187.003.0010.

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Abstract This chapter discusses the strengths, pitfalls, and practicalities of MEG and EEG data analysis methods and visualization strategies. Data-set segmentation, signal-to-noise considerations, signal levels, and power are examined as these may drive the chosen data analysis strategy. After basic analyses of averaged and unaveraged data, brain microstates, event-related desynchronization/synchronization, temporal spectral evolution, and time-frequency analyses, phase synchronization, and cross-frequency coupling are discussed. Measures of the introduced association and functional/effective
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Hassani, Hossein, Anatoly Zhigljavsky, Kerry Patterson, and Abdol S. Soofi. "A comprehensive causality test based on the singular spectrum analysis." In Causality in the Sciences. Oxford University Press, 2011. http://dx.doi.org/10.1093/acprof:oso/9780199574131.003.0018.

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Conference papers on the topic "Spectral causality"

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Sun, Shiyu, Yanhui Li, Lin Chen, Yuming Zhou, and Jianhua Zhao. "Boosting Code-line-level Defect Prediction with Spectrum Information and Causality Analysis." In 2025 IEEE/ACM 47th International Conference on Software Engineering (ICSE). IEEE, 2025. https://doi.org/10.1109/icse55347.2025.00240.

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Wismüller, Axel, Ali Vosoughi, and Akhil Kasturi. "Analysis of brain connectivity in autism spectrum disorder using large-scale non-linear Granger causality (lsNGC)." In Clinical and Biomedical Imaging, edited by Barjor S. Gimi and Andrzej Krol. SPIE, 2025. https://doi.org/10.1117/12.3047774.

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Wismüller, Axel, Ali Vosoughi, and Akhil Kasturi. "Large-scale augmented Granger causality (lsAGC) for enhanced analysis of brain connectivity in autism spectrum disorder." In Clinical and Biomedical Imaging, edited by Barjor S. Gimi and Andrzej Krol. SPIE, 2025. https://doi.org/10.1117/12.3047777.

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Bernet, Stefan, Bern Kohler, Alexander Rebane, Alois Renn, and Urs R. Wild. "Holography in Frequency Selective Media: Hologram Phase and Causality." In Persistent Spectral Hole Burning: Science and Applications. Optica Publishing Group, 1991. http://dx.doi.org/10.1364/pshb.1991.thc4.

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Persistent spectral hole burning [1] in conjunction with holography (PSHB) opens new prospects for high density optical information storage and processing. In the holographic approach, hole burning is carried out with two -crossed coherent laser beams which bleach out a narrow frequency domain hole in an inhomogeneously broadened absorption band recording, at the same time, a spatial holographic fringe pattern. During read out of the hologram diffraction from this spatial fringe pattern occurs, and a holographic image is reconstructed, reflecting the changes of the absorption coefficient and t
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Anderson, Rachele, and Maria Sandsten. "Multitaper Spectral Granger Causality with Application to Ssvep." In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020. http://dx.doi.org/10.1109/icassp40776.2020.9054388.

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Cao, Wenqi, Anders Lindquist, and Giorgio Picci. "Spectral Rank, Feedback, Causality and the Indirect Method for CARMA Identification." In 2020 59th IEEE Conference on Decision and Control (CDC). IEEE, 2020. http://dx.doi.org/10.1109/cdc42340.2020.9304013.

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Basu, Ishita, Pawel Kudela, and William S. Anderson. "Determination of seizure propagation across microdomains using spectral measures of causality." In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2014. http://dx.doi.org/10.1109/embc.2014.6945080.

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Xie, Ting, Jian-Guo Wang, Zhong-Tao Xie, Yuan Yao, and Chao Xu. "Root Cause Diagnosis of Plant-Wide Oscillation Using Spectral Granger Causality Based on Phase Resampling Test." In 2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS). IEEE, 2019. http://dx.doi.org/10.1109/ddcls.2019.8909045.

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Luckow-Markward, S., E. Ostertag, B. Boldrini, W. Kessler, and R. Kessler. "Spectral imaging in process analytics using chemometrics and first principles." In OCM 2013 - Optical Characterization of Materials. KIT Scientific Publishing, 2013. http://dx.doi.org/10.58895/ksp/1000032143-1.

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Optical spectroscopy is able to detect not only the chemical composition of the species by their wavelength specific absorption k but also the morphological feature through their wavelength dependent scattering s. In standard multivariate data analysis in hyperspectral imaging, the focus of the chemometric treatment of the data cube is given on the suppression of the unwanted perturbation of multiple scatter of photons. This paper describes an approach how to separate the morphological information s (scatter) from the chemical information k (absorption) using the radiative transfer equation or
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Nuzzi, Davide, Luca Faes, Michal Javorka, Daniele Marinazzo, and Sebastiano Stramaglia. "Inclusion of Instantaneous Influences in the Spectral Decomposition of Causality: Application to the Control Mechanisms of Heart Rate Variability." In 2020 28th European Signal Processing Conference (EUSIPCO). IEEE, 2021. http://dx.doi.org/10.23919/eusipco47968.2020.9287642.

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Reports on the topic "Spectral causality"

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Viswanathan, Meera, Jennifer Cook Middleton, Alison Stuebe, et al. Maternal, Fetal, and Child Outcomes of Mental Health Treatments in Women: A Systematic Review of Perinatal Pharmacologic Interventions. Agency for Healthcare Research and Quality (AHRQ), 2021. http://dx.doi.org/10.23970/ahrqepccer236.

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Background. Untreated maternal mental health disorders can have devastating sequelae for the mother and child. For women who are currently or planning to become pregnant or are breastfeeding, a critical question is whether the benefits of treating psychiatric illness with pharmacologic interventions outweigh the harms for mother and child. Methods. We conducted a systematic review to assess the benefits and harms of pharmacologic interventions compared with placebo, no treatment, or other pharmacologic interventions for pregnant and postpartum women with mental health disorders. We searched fo
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Severe Cutaneous Adverse Reactions. A consensus by a CIOMS Working Group. CIOMS, 2025. https://doi.org/10.56759/lrty1600.

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In clinical practice, there is mounting concern about the burden of SCAR in relation to novel biologics as well as the increasing cost of diagnosis and management. This consensus report provides unique insights and the latest thinking from renowned experts on this important topic. The skin is among the parts of the body most commonly affected by adverse drug reactions (ADRs). Cutaneous ADRs affect 2% to 3% of all hospitalized patients and have a wide spectrum of clinical manifestations, are caused by various medicinal products, and result from different pathophysiologic mechanisms. Hence, thei
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