Search Results - "Davison, A.C."

Statistics of Extremes by Davison, A.C, Huser, R

“…Statistics of extremes concerns inference for rare events. Often the events have never yet been observed, and their probabilities must therefore be estimated…”
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Modelling time series extremes by Chavez-Demoulin, V, Davison, A.C

“…* The need to model rare events of univariate time series has led to many recent advances in theory and methods. In this paper, we review telegraphically the…”
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Extreme temperature analysis under forest cover compared to an open field by Ferrez, J., Davison, A.C., Rebetez, M.

“…► We analyse air temperature from 14 sites, measured under canopy and in the open. ► We investigate how extreme temperatures depend on the forest cover. ►…”
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Comparison of Models for Olfactometer Data by Davison, A.C., Ricard, I.

“…Olfactometer experiments are used to study the responses of arthropods to potential attractants, for purposes such as understanding natural defenses of plants…”
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The evaluation of evidence in the forensic investigation of fire incidents (Part I): an approach using Bayesian networks by Biedermann, A., Taroni, F., Delemont, O., Semadeni, C., Davison, A.C.

“…The forensic investigation of the origin and cause of a fire incident is a particularly demanding area of expertise. As the available evidence is often…”
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Local models for exploratory analysis of hydrological extremes by Ramesh, N.I., Davison, A.C.

“…Trend analysis is widely used for detecting changes in hydrological data. Parametric methods for this employ pre-specified models and associated tests to…”
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The evaluation of evidence in the forensic investigation of fire incidents. Part II. Practical examples of the use of Bayesian networks by Biedermann, A., Taroni, F., Delemont, O., Semadeni, C., Davison, A.C.

“…This paper extends a previous discussion of the use of Bayesian networks for evaluating evidence in the forensic investigation of fire incidents. Bayesian…”
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mixture model for multivariate extremes by Boldi, M.-O, Davison, A.C

“…The spectral density function plays a key role in fitting the tail of multivariate extre-mal data and so in estimating probabilities of rare events. This…”
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six-arm olfactometer permitting simultaneous observation of insect attraction and odour trapping by Turlings, T.C.J, Davison, A.C, Tamo, C

“…Behavioural assays to study insect attraction to specific odours are tedious, time consuming and often require large numbers of replications. Olfactometer and…”
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Foreword by de Carvalho, M.B, Davison, A.C, Beirlant, J

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Foreword by de Carvalho, M.B, Davison, A.C, Beirlant, J

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Bayesian forecasting of grape moth emergence by Moravie, M.-A., Davison, A.C., Pasquier, D., Charmillot, P.-J.

“…Wine production is an important industry in Western Switzerland, but vineyards must contend with grape vine and grape berry moths, the larval stages of which…”
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The evaluation of evidence in the forensic investigation of fire incidents. Practical examples of the use of Bayesian networks by Biedermann, A, Taroni, F, Delemont, O, Semadeni, C, Davison, A.C

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DISCUSSION OF THE PAPER BY JØRGENSEN by Cribari-Neto, F., Davison, A.C., Ferrari, S.L.P., Ghosh, Malay, Jørgensen, Bent

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