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Binary hypothesis testing

Data selection in binary hypothesis testing

Data selection in binary hypothesis testing

... The chapter also presents an approximate algorithm for adapting the detector threshold to fluctuations in the selected subset size, an important challenge in implememtation of randomized [r] ...

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Designing an organization in a hypothesis testing framework

Designing an organization in a hypothesis testing framework

... To demonstrate this, we present numerical results for a team consisting of two decision makers (DMs) which performs binary hypothesis testing and study the effects of differe[r] ...

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Hypothesis Testing Over the Two-Hop Relay Network

Hypothesis Testing Over the Two-Hop Relay Network

... and testing schemes and the corresponding achievable type-II error exponents are presented for binary hypothesis testing over two-hop relay ...null hypothesis only if all previous ...

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Distributed Hypothesis Testing based on Unequal-Error Protection Codes

Distributed Hypothesis Testing based on Unequal-Error Protection Codes

... Distributed Hypothesis Testing based on Unequal-Error Protection Codes Sadaf Salehkalaibar, IEEE Member and Mich`ele Wigger, IEEE Senior Member Abstract—Coding and testing schemes for binary ...

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Truncated Sequential Non-Parametric Hypothesis Testing Based on Random Distortion Testing

Truncated Sequential Non-Parametric Hypothesis Testing Based on Random Distortion Testing

... the hypothesis testing procedures discussed above are based on likelihood ...each hypothesis, perhaps up to a few unknown parameters, to derive or approximate the likelihood ...esis testing ...

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On Hypothesis Testing Against Conditional Independence With Multiple Decision Centers

On Hypothesis Testing Against Conditional Independence With Multiple Decision Centers

... On Hypothesis Testing Against Conditional Independence with Multiple Decision Centers Sadaf Salehkalaibar, Mich`ele Wigger, and Roy Timo Abstract—A distributed binary hypothesis testing ...

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Hypothesis Testing over Cascade Channels

Hypothesis Testing over Cascade Channels

... Abstract—Binary hypothesis testing over single and parallel cascade channels is considered where sensors communicate with dedicated relays, and these relays with a single final ...the binary ...

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Statistical hypothesis testing with time-frequency surrogates to check signal stationarity

Statistical hypothesis testing with time-frequency surrogates to check signal stationarity

... In the spirit of [5], where the authors studied the proba- bility density function (pdf) of the spectrogram of correlated Gaussian signals, we derive here the asymptotic pdf of the spectrogram of surrogates. It allows us ...

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Testing the Edwards hypothesis in spin systems under tapping dynamics

Testing the Edwards hypothesis in spin systems under tapping dynamics

... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ...

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Testing Compound Nucleus Hypothesis Across the 17 O Nucleus Excitation

Testing Compound Nucleus Hypothesis Across the 17 O Nucleus Excitation

... 17 O* compound nucleus is characterized by weak level density and subsequent wide resolved resonance range (RRR) that goes from 0 to 6 MeV. Two reaction types are fully open for this region: the neutron and α reactions. ...

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Adversarial hypothesis testing and a quantum stein's lemma for restricted measurements

Adversarial hypothesis testing and a quantum stein's lemma for restricted measurements

... Quantum hypothesis testing, entanglement, and additivity. One of our main applications for our adversarial Chernoff-Stein Lemma is in quantum hypothesis testing, when the states to be ...

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The Impact of Inflation Targeting: Testing the Good Luck Hypothesis

The Impact of Inflation Targeting: Testing the Good Luck Hypothesis

... “luck hypothesis” we examine the inflation experience of Canada, one of the earliest and most successful adopters of an inflation targeting monetary ...luck hypothesis can explain with a high probability ...

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Large scale reduction principle and application to hypothesis testing

Large scale reduction principle and application to hypothesis testing

... (1999) and Bardet (2000) in a parametric context, the memory parameter of a time series can be estimated using the normalized limit of its scalogram (21), that is the average of squares [r] ...

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Kernel-Based Methods for Hypothesis Testing: A Unified View

Kernel-Based Methods for Hypothesis Testing: A Unified View

... CONCLUSIONS Kernel-based methods were used extensively and success- fully for binary and multiway supervised classification problems in signal processing and machine learning. We showed how kernel-based methods ...

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Exponent Trade-off for Hypothesis Testing Over Noisy Channels

Exponent Trade-off for Hypothesis Testing Over Noisy Channels

... distributed hypothesis testing (DHT) problem enjoys a renewed interest in recent ...any hypothesis testing problem, there are two error probabilities at ...

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Parameter Tuning by Simple Regret Algorithms and Multiple Simultaneous Hypothesis Testing

Parameter Tuning by Simple Regret Algorithms and Multiple Simultaneous Hypothesis Testing

... Θ i = arg max i ˆL t (i)+ p α log (t − 1)/N t −1 (i) otherwise. Simple regret is a natural criterion when working on automatic parameter tuning. However, the theo- retical investigations on simple regret did not answer ...

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Testing the Boolean hypothesis in the non-convex case when a bounded grain can be assumed

Testing the Boolean hypothesis in the non-convex case when a bounded grain can be assumed

... dence hypothesis is rejected in favour of an aggregative pattern of diseased ...The hypothesis we want to test then is that in- sects do not ...the hypothesis is not ...

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Testing the axial dipole hypothesis for the Moon by modeling the direction of crustal magnetization

Testing the axial dipole hypothesis for the Moon by modeling the direction of crustal magnetization

... this hypothesis by modeling the direction of crustal magnetization using a global magnetic field model of the Moon derived from Lunar Prospector and Kaguya magnetometer ...plausible hypothesis for this ...

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Testing the Asset-seeking Hypothesis :through the Investments of Chinese and Indian Firms in Europe

Testing the Asset-seeking Hypothesis :through the Investments of Chinese and Indian Firms in Europe

... Hong Hypothesis 1 on ...confirming Hypothesis 2 that the Southern MNCs have a stronger asset-seeking motivation to invest in those sectors in which they lack a competitive ...prove Hypothesis 2 since ...

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Effects of rater bias and assessment method on disease severity estimation with regard to hypothesis testing

Effects of rater bias and assessment method on disease severity estimation with regard to hypothesis testing

... Keywords: phytopathometry, plant disease quantification, rating scales Introduction The assessment of disease severity (the proportion of a plant unit diseased) is a basic need in many studies in plant disease ...

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