As of today, Las Vegas' Monte Carlo Casino Hotel remains closed pending the investigation of last week's fire and the impending repair work. At this time, reservations at the Monte Carlo are being moved to other MGM Mirage hotels. In addition, the Lance Burton show will be suspended for the time being and all tickets that have already been purchased will be refunded.

The singer announced she will not participate in Fortune’s Most Powerful Women conference after learning the former homeland security secretary was a speaker.

Follow the meteoric rise of 70s porn star, Carlo Stefan, and the rocky path he took to find the life and love he craved in the Porn Star Brothers series. Carlos Stephanopoulos is the eldest of three brothers. Australian born and Greek Island raised, he loves women, sex, and money, and not necessarily in that order. He lives the good life, screwing women of all ages morning, noon and night until one night the good life comes to a screeching halt. On the run with only a suitcase and money, he winds up in Hollywood working in porn movies, with a new name and new look, only to become the biggest porn star around... but his troubles are not over.

Carly Dodd is a KaurnaNarungga and Ngarrindjeri artist. Carly mixes traditional and contemporary techniques, to produce works that are conceptually and culturally driven. Jack Buckskin is a Kaurna, Narungga and Wirangu man, born in the Adelaide Plains region, who has dedicated himself to learning and sharing the Kaurna language and culture.

Heredity -- Genetics.

Leipzig : C.J. Goschen, 1908.

Bristol : Wright, 1907.

Leipzig : W. Engelmann, 1868.

Leipzig : Duncker & Humblot, 1868.

Mitau : G.A. Reyher, 1848.

Berlin : A. Hirschwald, 1892-1893.

Berlin : S. Karger, 1894.

Berlin : Karger, 1903.

Eisleben : G. Reichardt, 1845.

Leipzig : W. Engelmann, 1863.

Leipzig : G. Thieme, 1891.

Osterode a. H : A. Sorge, [1851]

Leipzig : F. Deuticke, 1904-1912.

Halle : Niemeyer, 1896.

Jena : Fischer, 1905.

London : H.K. Lewis, 1891.

Bristol : Wright, 1905.

Paris : O. Doin, 1884.

Tubingen : H. Laupp, Jr, 1889.

Leipzig : G. Thieme, 1893.

London : Macmillan, 1878.

Edinburgh : Oliver & Boyd, 1862.

Mannheim : T. Loeffler, 1812.

Berlin : Hirschwald, 1886.

Rockville, Maryland : National Institute on Drug Abuse, 1986.

Rockville, Maryland : National Institute on Drug Abuse, 1988.

Monte Carlo simulation is useful to compute or estimate expected functionals of random elements if those random samples are possible to be generated from the true distribution. However, when the distribution has some unknown parameters, the samples must be generated from an estimated distribution with the parameters replaced by some estimators, which causes a statistical error in Monte Carlo estimation. This paper considers such a statistical error and investigates the asymptotic distributions of Monte Carlo-based estimators when the random elements are not only the real valued, but also functional valued random variables. We also investigate expected functionals for semimartingales in details. The consideration indicates that the Monte Carlo estimation can get worse when a semimartingale has a jump part with unremovable unknown parameters.

Motion synthesis in a dynamic environment has been a long-standing problem for character animation. Methods using motion capture data tend to scale poorly in complex environments because of their larger capturing and labeling requirement. Physics-based controllers are effective in this regard, albeit less controllable. In this paper, we present CARL, a quadruped agent that can be controlled with high-level directives and react naturally to dynamic environments. Starting with an agent that can imitate individual animation clips, we use Generative Adversarial Networks to adapt high-level controls, such as speed and heading, to action distributions that correspond to the original animations. Further fine-tuning through the deep reinforcement learning enables the agent to recover from unseen external perturbations while producing smooth transitions. It then becomes straightforward to create autonomous agents in dynamic environments by adding navigation modules over the entire process. We evaluate our approach by measuring the agent's ability to follow user control and provide a visual analysis of the generated motion to show its effectiveness.

Jere Koskela, Paul A. Jenkins, Adam M. Johansen, Dario Spanò.

Source: The Annals of Statistics, Volume 48, Number 1, 560--583.

Abstract:
We study weighted particle systems in which new generations are resampled from current particles with probabilities proportional to their weights. This covers a broad class of sequential Monte Carlo (SMC) methods, widely-used in applied statistics and cognate disciplines. We consider the genealogical tree embedded into such particle systems, and identify conditions, as well as an appropriate time-scaling, under which they converge to the Kingman $n$-coalescent in the infinite system size limit in the sense of finite-dimensional distributions. Thus, the tractable $n$-coalescent can be used to predict the shape and size of SMC genealogies, as we illustrate by characterising the limiting mean and variance of the tree height. SMC genealogies are known to be connected to algorithm performance, so that our results are likely to have applications in the design of new methods as well. Our conditions for convergence are strong, but we show by simulation that they do not appear to be necessary.

L. F. South, A. N. Pettitt, C. C. Drovandi.

Source: Bayesian Analysis, Volume 14, Number 3, 773--796.

Abstract:
Sequential Monte Carlo (SMC) methods for sampling from the posterior of static Bayesian models are flexible, parallelisable and capable of handling complex targets. However, it is common practice to adopt a Markov chain Monte Carlo (MCMC) kernel with a multivariate normal random walk (RW) proposal in the move step, which can be both inefficient and detrimental for exploring challenging posterior distributions. We develop new SMC methods with independent proposals which allow recycling of all candidates generated in the SMC process and are embarrassingly parallelisable. A novel evidence estimator that is easily computed from the output of our independent SMC is proposed. Our independent proposals are constructed via flexible copula-type models calibrated with the population of SMC particles. We demonstrate through several examples that more precise estimates of posterior expectations and the marginal likelihood can be obtained using fewer likelihood evaluations than the more standard RW approach.

WHAT a difference a Prime Minister makes. There used to be a time, back before it wasn’t an obstacle to promotion, that Jackson Carlaw was aghast at the idea of a no-deal Brexit.

On view from June 1-29, 2018 Free opening reception on Friday, June 1 at 5 p.m. Wilmington, Del. (May 24, 2018) – Carlos Alejandro’s Trace, an exhibition of black and white fine art photography, will be on view in the Mezzanine Gallery from June 1-29, 2018. A free opening reception to meet the artist will […]

Certain practices in the apparel market continue to loom like dark clouds, says Rishabh Oswal, Executive Director, Monte Carlo.

Brothers Keith and Richard Carlisle, who have been farming near Greenwood since the 1960s, were jointly honored for their service and contributions Thursday evening, presented with the Secretary's Award for Distinguished Service to Delaware Agriculture.

The downfall of Nissan Motor Co chairman Carlos Ghosn reverberated for a second day as politicians and executives scrambled to fill the vacuum at the top of the world’s largest car alliance amid new reports about his alleged financial improprieties.

Hi ,

     I have designed analog IP in cadence ADE and simulated in spectre. All corner results looks good. when i run monte carlo 1000 runs have high current in 125C two runs. Simulated with same setup in different user, all clean.Need to know what type sampling method used and why its not clean with my setup.

Thanks,

Anbarasu

Hello,

I am trying to use calcVal for creating a spec condition from a simulated parameter and although this works perfectly fine in corner simulations, I am having some difficulties in Monte-Carlo (and I will explain).

(I have also read "Using calcVal() and its arguments with ADE Assembler" in Resources > Rapid Adoption Kits but couldn't find any relevant information that would help me address the "issue").

In the above example I am performing a MC simulation which has 2 corners of 10 runs each. I would like to get the minimum value of variable "OC_limit_thres" out of those 10 runs and pass it as my upper limit to a range argument for variable "OC_flag_thres", so the CPK can be calculated.

So the range statement should in reality be like this:

range 32m 44.34m (for corner 0)

range 32m 43.14m (for corner 1)

If I open the Detail - Transpose view in the Results tab, the calcVal("OC_limit_thres" "Currlim_TurnOn_C11") is calculated perfectly fine for each run but here I need one single value out of those 10 runs - in this case the minimum - in order for calcVal to evalute on multiple runs of 1 corner.

How can this be done please?

Thank you in advance for your time.

Knock, knock: it's Hunger

The post Cartoon: Carlos on the wolves at the door appeared first on The Mail & Guardian.

The 61-year-old, who led NPB in home runs in 1988, is enjoying his new role in charge of the Wei Chuan Dragons, who will join ...

A fossil of a predatory reptile from the dinosaur era is missing the front of its jaws, suggesting it was attacked by a rival that bit them off

Bandai Namco has announced a new RPG, Scarlet Nexus, for the Xbox Series X and Xbox One. It will feature Smart Delivery. A release date was not announced. 

"The next generation of video game home consoles lets the development team realize the full potential of Scarlet Nexus," said producer Keita Iizuka. "Players can expect visuals and psychic battles with high resolution and frame rate along with fully interactive real-time battles with dynamic animation. Utilizing Smart Delivery on Xbox Series X also means players can enjoy the best version of Scarlet Nexus regardless of whether they are playing on the next generation with Xbox Series X or Xbox One."

Bandai Namco America senior brand manager Stephen Akana added, "Scarlet Nexus aims to change the way gamers view Japanese RPGs with a powerful futuristic aesthetic as well as a streamlined combat system that balances fast-paced action with strategic planning. Lead by an extremely talented team at Bandai Namco Studios, including members from fan-favorite title Tales of Vesperia, Scarlet Nexus combines years of game development experience with the excitement and creative freedom of the power behind the next generation of home console systems."

View the announcement trailer below:

Here is an overview of the game:

Scarlet Nexus takes place in the far distant future, where a psionic hormone was discovered in the human brain, granting people extra-sensory powers and changed the world as we knew it. As humanity entered this new era, deranged mutants known as Others began to descend from the sky with a hunger for human brains. Impervious to conventional weapons, those with acute extra-sensory abilities, known as psionics, were our only chance to fight the onslaught from above and preserve humanity. Since then, psionics have been scouted for their talents and recruited to the Other Suppression Force, humanity’s last line of defense.

In Scarlet Nexus, players will take on the role of Yuito Sumeragi, armed with a talent in psycho-kinesis, and explore the futuristic city of New Himuka and uncover the mysteries of a Brain Punk future caught between technology and physic abilities. With these psycho-kinetic powers, the world becomes an important ally. Lift, break, and hurl pieces of the environment to build attack combos and lay waste to enemies.

A life-long and avid gamer, William D'Angelo was first introduced to VGChartz in 2007. After years of supporting the site, he was brought on in 2010 as a junior analyst, working his way up to lead analyst in 2012. He has expanded his involvement in the gaming community by producing content on his own YouTube channel and Twitch channel dedicated to gaming Let's Plays and tutorials. You can contact the author at wdangelo@vgchartz.com or on Twitter @TrunksWD.

Full Article - https://www.vgchartz.com/article/443425/bandai-namco-announces-rpg-scarlet-nexus-for-xbox-series-x-and-xbox-one/