Sentences with phrase «equal probability in»

HPD ranges are located differently from those with equal probability in both tails of a probability distribution; they are narrower but not necessarily better.

Not exact matches

In an online discussion on religion and Nazis, the probability of a discussion involving Hitler's faith equals 1 and will happen within the first x posts, where x is y % of the number of regular posters.

Consequently one must not seek to find the excuse for the witty expressions of pain and of sorrow in the fact that the person who uttered them was a superior person, well educated, intelligent, and witty withal, for the passions make all men again equal — but the explanation is to be found in the fact that in all probability everyone would have said the same thing in the same situation.

To be perfectly practical if cazorla was in any of last 3 games there was equal probability of us winning or losing.

Together with Elena Fuchs, Bourgain showed that if you pick any integer n, there is a nonzero probability that some bubble in the Apollonian foam has radius equal to 1 / n.

Early on in a search, a robot may know very little about where a scent is coming from — every direction in which it could travel has a relatively equal probability of leading to the source.

For example, MLB now has 30 teams, and if one assumes that in any year each team has an equal probability — 3.3 % — of winning the championship, then simple binomial statistics predict that the probability that a particular team — say, the San Diego Padres in California — will fail to win a championship for 107 years in a row is 2.67 %.

In one sentence: Researchers at Pacific Northwest National Laboratory and colleagues found that if followed by measures of equal or greater ambition, individual country pledges to reduce their emissions called Intended Nationally Determined Contributions have the potential to reduce the probability of the highest levels of warming and increase the probability of limiting global warming to 2 degrees Celsius.

The outcome of a given division is unpredictable, but in homeostasis the probabilities of producing two progenitor and two differentiating daughters are the same, so that on average, equal numbers of progenitors and differentiating cells are produced across whole population of progenitors.

The probability is really placed next to you, but stay in mind, not ALL women tonight are designed equal!

In February of 2011, CUNY's Office of Institutional Research and Assessment, headed by University Dean David Crook, released critical data (obtained by Director of Policy Analysis Colin Chellman using linear probability models and logistic regression) demonstrating that, all else being equal (i.e., taking into account all measurable demographic and performance characteristics), CUNY's transfer students were at a disadvantage in terms of graduation compared to native studentIn February of 2011, CUNY's Office of Institutional Research and Assessment, headed by University Dean David Crook, released critical data (obtained by Director of Policy Analysis Colin Chellman using linear probability models and logistic regression) demonstrating that, all else being equal (i.e., taking into account all measurable demographic and performance characteristics), CUNY's transfer students were at a disadvantage in terms of graduation compared to native studentin terms of graduation compared to native students.

Assign equal probability to each of the other classrooms in that have the same teacher as.

Equal changes in each of the four components listed above had roughly equal effects on the probability that a woman would enter the teaching profesEqual changes in each of the four components listed above had roughly equal effects on the probability that a woman would enter the teaching profesequal effects on the probability that a woman would enter the teaching profession.

As journalist Louis Menand put it, «The experts performed worse than they would have if they had simply assigned an equal probability to all three outcomes... Human beings who spend their lives studying the state of the world, in other words, are poorer forecasters than dart - throwing monkeys.»

I am not saying that I reverse - engineered it because in econometrics there may be many fits with equal probability that explain the dependent variable well.

A company with a declining moat has a higher probability of lower returns on capital in the future and should, therefore, have lower projected cashflows going forward, all else equal.

Recall that in their 2001 Third Assessment Report, the IPCC gives a range of temperature increase between 1990 and 2100 of 1.4 and 5.8 ºC based upon the simulated output from 7 different climate models run under 35 different emissions scenarios — each of which the IPCC claimed as having an equal probability of occurrence.

As you point out, the IPCC does not explicitly state that the SRES scenarios all are of equal likelihood, but, given what they do tell us (as you indicated) 1) we should not rely on the frequency distribution to develop probability of occurrence, and 2) «No judgment is offered in this report as to the preference for any of the scenarios and they are not assigned probabilities of occurrence,» it seem to me that the best we can do is to make the simple assumption that they are equally likely (with departures from equal probability randomly distributed).

Silver accurately said that the probability of Romney being elected was equal to the probability of the state polls being biased in Obama's favour.

I had attempted a similar project at the 3rd conference with my poster «Comparison of Climate Forecasts: Expert Opinions vs. Prediction Markets» in which my abstract proposed the following: «As an experiment, we will ask participants to go on the record with estimates of probability that the global temperature anomaly for calendar year 2012 will be equal to or greater than x, where x ranges in increments of 0.05 °C from 0.30 to 1.10 °C (relative to the 1951 - 1980 base period, and published by NASA GISS).»

(The philosophy involved in this gets quite turgid, but a lot of people follow the indifference principle and assign equal probabilities to each possibility — assuming you know how many possibilities there actually are.

Under Cardano's theory of fair gambling devices, equal numerical values are assigned to the probabilities of the ways in which an outcome can occur in a game of chance.

The probability that we will see sharp GMT rises (or could even be in the middle of one right now) equal to or in excess of 0.2 C / decade is much higher than the probability of a pause.

When (If) we are interested in S, it's natural to plot the likelihood versus S, but then we should not equate equal areas with equal probabilities as that would imply a prior uniform in S.

The solution for the pressure at a constant temperature above indicates that a gas is perfectly happy to support its own weight and density / pressure profile at a constant temperature, and at a constant temperature all collisions have equal probabilities of heat transfer in all collisions in all directions.

In this case, the two probabilities are virtually equal, as the probability density scarcely changes on the order of a hundred millionth of an SD.

If a model predicts reality and current trends as being < 2.5 % probable - equal to the probability that something that has never happened in 600 million years (i.e. 10C increase)- I would suggest that that model is FOS.

If H1 and H2 are equal - sized intervals around 300 and 1200, mapping to very differently sized intervals in C14 - space, that corresponds to the C14 measurement error being in correspondingly sized intervals, which have a probability equal to the pdf integrated over each interval.

Were the hypothesis that warming will increase at least 1C / decade averaged over a millennium at 95 % confidence, nineteen times in twenty, given the noise in the signal, all other things being equal, we'd first need 17 years at least to get some kinda sketchy data, and then could begin calculating from the set of subsequent running or independent 17 year spans (a different calculation for each, depending on the PDF) the probability that a -20 C decade would be consistent with a +1 C / decade hypothesis.

To assign equal probability to warming or cooling in such a situation is to ignore what we know.

I can generate completely random data without any trend with noise mimicking that in annual temperature data and quickly find a 13 - year span somewhere in the mix that would appear to have a trend that's positive within a 95 % confidence interval (with an equal probability of seeing a «significant» decline).

It was the empirical evidence that led to the B - E derivation in the first place; the reconsideration of which «states» had equal probabilities led to the investigation of how that might be modeled.

(C) The probability that a negative precipitation anomaly and a positive temperature anomaly equal to or exceeding a given magnitude occur in the same 12 - mo period, for all possible 12 - mo periods (using a 12 - mo running mean; see Materials and Methods), for varying severity of anomalies.

Because the PMDI always calculates a probability - weighted average of the wet and dry indices (27), the PDSI and PMDI will give equal values in periods that are clearly wet or dry, but the PMDI will yield smoother transitions between wet and dry periods (25).

If we assume two complementary hypotheses H0 and H1, an experimental outcome O, know P (O H0) and P (O H1), and have an assumed prior probability ratio P (H0) / P (H1), we can calculate the posterior probability as follows: P (H0 O) / P (H1 O) = (P (O H0) / P (O H1)-RRB-(P (H0) / P (H1)-RRB- Take logs to convert that multiplication to an addition log (P (H0 O) / P (H1 O)-RRB- = log (P (O H0) / P (O H1)-RRB- + log (P (H0) / P (H1)-RRB- and we interpret this as the confidence in H0 over H1 after the observation is equal to the evidence inherent in the result of the experiment plus our confidence before the observation.

If a model ensemble was perfect such that the true observed climatic variable can be regarded as indistinguishable from a sample of the model ensemble, then the rank of each observation lies with equal probability anywhere in the model ensemble, and thus the rank histogram should have a uniform distribution (subject to sampling noise).

The softmax activation in the dense layer distributes a probability from 0 — 1, with the sum of all predictions equal to 1.

Not all tokens are created equal — tokens sold in the same phase can have different multipliers attached to its probability of winning the jackpot.

For this, properly constructed samples using equal probability of selection methods are required which are sufficiently large to investigate the issues raised in this paper.

If profiles are not equal over time, the qualitative change in profiles should be taken into account for interpreting the transition probabilities (Collins and Lanza 2010).

These models were implemented in Complex Samples (CS) due to the multi-sampling design, defining a planning project with weights equal to the inverse probability of selection in the second phase of the design.

In other words, a GENESYS RDD sample ensures an equal and known probability of selection for every residential telephone number in the sample framIn other words, a GENESYS RDD sample ensures an equal and known probability of selection for every residential telephone number in the sample framin the sample frame.