The closure problem and non-Gaussianity
Revisiting non-Gaussianity from non-attractor inflation models
... the non-Gaussianity generated in the non- attractor phase cannot survive through the transition to the slow-roll attractor ...the non-attractor phase returns to ∼ 0 (slow-roll-suppressed) in ...
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Measuring BAO and non-Gaussianity via QSO clustering.
... ≈50 per cent higher QSO sky densities and 50 per cent bigger area will give an ≈6σ BAO detection, leading to an error ≈60 per cent of the size of the BOSS error on the dark energy evolution parameter, w a . Another ...
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Learning Instrumental Variables with Structural and Non-Gaussianity Assumptions
... Learning a causal effect from observational data requires strong assumptions. One possi- ble method is to use instrumental variables, which are typically justified by background knowledge. It is possible, under further ...
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Non-linear Causal Inference using Gaussianity Measures
... The performance of this method is evaluated in both synthetic and real-world cause- effect pairs. From the results obtained it is apparent that the anti-causal residuals of a linear fit in the expanded feature space are ...
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Search for non-Gaussianity in Large Scale Structure surveys
... theories are trying to give an adequate solution to this fundamental physical problem via the evolution of perturbations of the primordial density field. These density fluctuations, due to their self-gravity, will ...
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Planck 2015 results XVII Constraints on primordial non Gaussianity
... with non-separable templates, treats separable templates exactly, and the local, equilateral, and orthogonal template are all ...with non-separable shapes and have other advantages as well (like full ...
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Optimising primordial non- Gaussianity measurements from galaxy surveys
... 2.3 Measuring Redshifts Robust spectral classification and redshift estimation is a challeng- ing problem for quasars. In particular, the number and complex- ity of physical processes that can affect the spectrum ...
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Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity
... Here, we consider the general case where causal influences can occur either instantaneously or with considerable time lags. Such models are one example of structural vector autoregressive (SVAR) models popular in ...
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Ensemble Kalman filtering for hydraulic conductivity characterization: Parallelization and non-Gaussianity
... 5.5 Discussion From the above analysis we can conclude that the quality of the ensem- ble of realizations generated by iSS is comparable to that of the ensemble generated by NS-EnKF. The main difference between the two ...
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Diagnosing non-Gaussianity of forecast and analysis errors in a convective-scale model
... errors, meaning that many values are more humid than the ensemble mean. In the troposphere, K 2 is increasing while the q mean con- tent, displayed in Fig. 3d, is largely decreasing. Values at higher levels, where q is ...
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Epistemic Logic and the Problem of Epistemic Closure
... the closure principle ...epistemic closure principle does not hold be- cause the agent consider as plausible descriptions of the reality also scenarios where the laws of logic do not ...the problem ...
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Information theoretic measures of dependence, compactness, and non-gaussianity for multivariate probability distributions
... the problem of estimating these measures from finite datasets: since the proposed measures apply to non-Gaussian data the estimation problem is considerably more difficult than those of the ...
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Future Constraints on Angle-Dependent Non-Gaussianity from Large Radio Surveys
... 6: Non-Gaussian correction to the bias as a function of redshift z and halo mass, for the c |L=1 (left panels) and c |L=2 (right panels) ...primordial non-Gaussanity parameter f NL for the local, ...
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A Diagnostic Approach towards the Causes of Energy Balance Closure Problem
... pected uncertainty associated with eddy-covariance instruments is 20% [25]. Interestingly, the intercept of the asymptote is equal to the systematic error discovered in section 3.2. In this paper, we attempted to ...
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The clustering of galaxies in the SDSS III DR9 Baryon Oscillation Spectroscopic Survey: constraints on primordial non Gaussianity
... Accepted 2012 September 27. Received 2012 September 27; in original form 2012 August 7 A B S T R A C T We analyse the density field of 264 283 galaxies observed by the Sloan Digital Sky Survey (SDSS)-III Baryon ...
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Comparing Approaches to Deal with Non-Gaussianity of Rainfall Data in Kriging-Based Radar-Gauge Rainfall Merging
... often Gaussianity of residuals is achieved applying Gaussian transformations on rain gauge and radar rainfall ...address non-Gaussianity of rainfall ...the non-Gaussian features in the spatial ...
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Out comes of closure versus non closure of ventral hernial defect during laparscopic hernioplasty
... allows closure of large defects and complete desufflation of the abdomen while tying the sutures, minimizing tension on the suture ...percutaneous closure requires multiple punctures in the skin and may ...
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A loop closure approach for humanoids navigation, An approach to the loop closure problem, robust to severe view-point changes
... 9 R E M A R K S 9 .1 c o m m e n t s a n d r e m a r k s From the performance point of view almost all recent state of the art works run in real-time systems but with considerable differences in the scale that they ...
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Aggregational Gaussianity In The South African Equity Market
... APPENDIX B – RESULTS FOR THE S&P 500 Here we consider the time-varying distributional characteristics of the Standard & Poor's 500 stock market index, which is a representation of the 500 leading publicly traded ...
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Dependence, Correlation and Gaussianity in Independent Component Analysis
... and Gaussianity, in particular in the ICA framework ...the non-Gaussian part of the dependence to express itself only in the marginal ...i.i.d. non-Gaussian ...of non-stationary ...
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