[PDF] Top 20 Quantifying the uncertainty in change points
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Quantifying the uncertainty in change points
... 2007). Change point methodology has therefore been proposed as a possible solution to this problem, where the change points effectively act as a latent design for each time ...multiple change ... See full document
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Quantifying the uncertainty in change points
... exact change point distributions to be ...parameter uncertainty in change point ...parameter uncertainty. Recent Bayesian change point approaches have dealt with model parameter ... See full document
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Quantifying different sources of uncertainty in hydrological projections in an Alpine watershed
... Quantifying the distribution of temperature is particularly important for mountain hydrology. Model errors resulting from the assumed spatio-temporal constant lapse rate are widely unknown, but may be of high ... See full document
18
Quantifying uncertainty in the estimation of probability distributions with confidence bands
... the uncertainty associated with the estimates of the finite dimensional parameters, we are not able to apply this same theory to the estimated probability distributions, which are in an infinite dimensional ...in ... See full document
29
Quantifying Uncertainty in Online Regression Forests
... providing uncertainty estimates for batch ...for quantifying the uncertainty of predictions in random forests (RF) have been proposed in the past, but they all assume a bounded, static dataset ... See full document
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On quantifying uncertainty for project selection : the case of a renewable energy sources investment
... The selection of a project among different alternatives, considering the limited resources of a company (organisation), is an added value process that determines the prosperity of an undertaken project (investment). This ... See full document
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Quantifying uncertainty in climate-driven disease risk predictions
... the uncertainty of a model model prediction? If possible, the most useful way is to quantify the uncertainty in forecasts; that is, to provide error bars, or a range of outcomes into which there is a high ... See full document
291
Quantifying uncertainty in thermophysical properties of walls by means of Bayesian inversion
... We use both synthetic and real measurements to test and validate the proposed computational approach, and demonstrated that it enables a fast and accurate estimation of the effective ther- mophysical properties of the ... See full document
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Quantifying uncertainty on sediment loads using bootstrap confidence intervals
... of uncertainty on constituent loads are rarely ...the uncertainty in the concentration and discharge predictions, allowing temporal correlation in the constituent data, and can be used when data ... See full document
18
Identifying challenges in quantifying uncertainty: Case study in infrared thermography
... of uncertainty, can vary significantly in real-world environments where, for example, varying atmospheric temperatures or windspeeds will impact the accuracy of recorded data or of the subjective opinion of a ... See full document
7
Towards reduced uncertainty in catchment nitrogen modelling: quantifying the effect of field observation uncertainty on model calibration
... The use of a virtual catchment, free of model and input data errors, of course sets limits to the interpretation of the results in a real-world context. However, analyses like those presented in this study can serve as a ... See full document
13
Quantifying uncertainty in urban flooding analysis considering hydro climatic projection and urban development effects
... climate change and natural variability. The effect of climate change is much more dominant in both catchments as compared with nat- ural variability (taller box and ...climate change at the 95% ... See full document
17
Quantifying Uncertainty in Random Forests via Confidence Intervals and Hypothesis Tests
... test points when testing feature ...selected points from the training set, but it would be beneficial to investigate optimal strategies for selecting both the number and location of test ... See full document
41
Quantifying uncertainty due to fission–fusion dynamics as a component of social complexity
... For calculating the individual entropy for an individual A, we do the same but only for those subgroups in which A was present and considering all other individuals except A shaded area,[r] ... See full document
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Event scale power law recession analysis: quantifying methodological uncertainty
... Despite moderate sensitivity to concavity and linearity in the Elder Creek data (catchment 11475560) displayed in Fig. 10, the first two fits in Fig. 11 are not statistically different as shown by 95 % confidence ... See full document
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Use of agro-climate ensembles for quantifying uncertainty and informing adaptation
... Here we highlight progress in the models used for agricultural impacts assessment section 2.1 and improvements in the methodological design of studies that use those models, both in term[r] ... See full document
13
Quantifying uncertainty in the impacts of climate change on river discharge in sub catchments of the Yangtze and Yellow River Basins, China
... substantial uncertainty in the magnitude of projected increases in river discharge resulting from cli- mate ...of uncertainty in hydrolog- ical projections in both catchments is GCM structure (choice of ... See full document
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Simulating and quantifying legacy topographic data uncertainty: an initial step to advancing topographic change analyses
... data uncertainty where legacy data from a variety of data sources can be integrated with HRT data to expand the time-scales of topographic change detec- ...most uncertainty measures found in current ... See full document
13
Hierarchy of climate and hydrological uncertainties in transient low flow projections
... allows quantifying the contributions of the differ- ent sources of total uncertainty, by critically taking account of large-scale internal variability stemming from the transient evolution of multiple GCM ... See full document
22
Evaluating Temporal Uncertainty of Multi temporal Images for Geographical Deviance
... by quantifying the entropy relationship between two temporally dependent images ...reduces uncertainty”; in other words, knowing one of the variables reduces the average uncertainty about the others ... See full document
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