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An invariance principle for mixing sequences of random variables

Zeitschrift f r Wahrscheinlichkeitstheorie und Verwandte Gebiete, 1973, Vol.25 (3), p.223-237

1973

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Bad models or bad modeling?

Bank asset/liability management, 1999-02, Vol.15 (2), p.3

Webb, Geoffrey R

1999

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Understanding embedded rate risk: part 2

Bank asset/liability management, 1993-02, Vol.9 (2), p.2

Webb, Geoffrey R

1993

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Understanding embedded rate risk: part 1

Bank asset/liability management, 1993-01, Vol.9 (1), p.3

Webb, Geoffrey R

1993

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Funds-transfer-pricing methods: Choices and tradeoffs

Bank accounting & finance, 1994-10, Vol.8 (1), p.23

Webb, Geoffrey R

1994

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Duration : implications for asset/liability management

Bank accounting & finance, 1991-07, Vol.4 (4), p.18

Webb, G

1991

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iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data

Briefings in bioinformatics, 2020-05, Vol.21 (3), p.1047-1057

2020

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Hydroxyethyl Starch or Saline for Fluid Resuscitation in Intensive Care

The New England journal of medicine, 2012-11, Vol.367 (20), p.1901-1911

2012

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Link between plate fabric, hydration and subduction zone seismicity in Alaska

Nature geoscience, 2015-12, Vol.8 (12), p.961-964

2015

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Vascular Complications After Transcatheter Aortic Valve Replacement

Journal of the American College of Cardiology, 2012-09, Vol.60 (12), p.1043-1052

2012

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Connections between subducted sediment, pore-fluid pressure, and earthquake behavior along the Alaska megathrust

Geology (Boulder), 2018-04, Vol.46 (4), p.299-302

2018

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The Entrepreneurship Process in Base of the Pyramid Markets: The Case of Multinational Enterprise/Nongovernment Organization Alliances

Entrepreneurship theory and practice, 2010-05, Vol.34 (3), p.555-581

2010

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Vascular Complications After Transcatheter Aortic Valve Replacement: Insights From the PARTNER (Placement of AoRTic TraNscathetER Valve) Trial

Journal of the American College of Cardiology, 2012-09, Vol.60 (12), p.1043-1052

2012

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C-reactive protein concentration as a predictor of in-hospital mortality after ICU discharge: a prospective cohort study

Intensive care medicine, 2008-03, Vol.34 (3), p.481-487

2008

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A comparison of early gastric and post-pyloric feeding in critically ill patients : a meta-analysis

Intensive care medicine, 2006-05, Vol.32 (5), p.639-649

2006

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Not so naive bayes: Aggregating one-dependence estimators

Machine learning, 2005, Vol.58 (1), p.5-24

2005

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Tsunamigenic structures in a creeping section of the Alaska subduction zone

Nature geoscience, 2017-08, Vol.10 (8), p.609-613

2017

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Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive Bayesian classification

Machine learning, 2012-02, Vol.86 (2), p.233-272

2012

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Transcatheter Aortic Heart Valves: Histological Analysis Providing Insight to Leaflet Thickening and Structural Valve Degeneration

JACC. Cardiovascular imaging, 2019-01, Vol.12 (1), p.135-145

2019

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Postoperative risk of IDH-mutant glioma-associated seizures and their potential management with IDH-mutant inhibitors

The Journal of clinical investigation, 2023-06, Vol.133 (12)

2023

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Where is the opportunity without the customer? An integration of marketing activities, the entrepreneurship process, and institutional theory

Journal of the Academy of Marketing Science, 2011-08, Vol.39 (4), p.537-554

2011

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Determinants of long-term survival after intensive care

Critical care medicine, 2008-05, Vol.36 (5), p.1523-1530

2008

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Pediatric Staphylococcus aureus Bacteremia: Clinical Spectrum and Predictors of Poor Outcome

Clinical infectious diseases, 2022-02, Vol.74 (4), p.604-613

2022

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Affimers proteins are versatile and renewable affinity reagents

eLife, 2017-06, Vol.6

2017

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Anthropogenic and climatic factors interact to influence reproductive timing and effort

Ecology and evolution, 2024-05, Vol.14 (5), p.e11306-n/a

2024

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An invariance principle for mixing sequences of random variables

Bad models or bad modeling?

Understanding embedded rate risk: part 2

Understanding embedded rate risk: part 1

Funds-transfer-pricing methods: Choices and tradeoffs

Duration : implications for asset/liability management

iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data

Hydroxyethyl Starch or Saline for Fluid Resuscitation in Intensive Care

Link between plate fabric, hydration and subduction zone seismicity in Alaska

Vascular Complications After Transcatheter Aortic Valve Replacement

Connections between subducted sediment, pore-fluid pressure, and earthquake behavior along the Alaska megathrust

The Entrepreneurship Process in Base of the Pyramid Markets: The Case of Multinational Enterprise/Nongovernment Organization Alliances

Vascular Complications After Transcatheter Aortic Valve Replacement: Insights From the PARTNER (Placement of AoRTic TraNscathetER Valve) Trial

C-reactive protein concentration as a predictor of in-hospital mortality after ICU discharge: a prospective cohort study

A comparison of early gastric and post-pyloric feeding in critically ill patients : a meta-analysis

Not so naive bayes: Aggregating one-dependence estimators

Tsunamigenic structures in a creeping section of the Alaska subduction zone

Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive Bayesian classification

Transcatheter Aortic Heart Valves: Histological Analysis Providing Insight to Leaflet Thickening and Structural Valve Degeneration

Postoperative risk of IDH-mutant glioma-associated seizures and their potential management with IDH-mutant inhibitors

Where is the opportunity without the customer? An integration of marketing activities, the entrepreneurship process, and institutional theory

Determinants of long-term survival after intensive care

Pediatric Staphylococcus aureus Bacteremia: Clinical Spectrum and Predictors of Poor Outcome

Affimers proteins are versatile and renewable affinity reagents

Anthropogenic and climatic factors interact to influence reproductive timing and effort

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